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4 - 9 years

7 - 17 Lacs

Mumbai

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We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

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5 - 10 years

8 - 13 Lacs

Pune

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About The Role : Job TitleSenior Engineer, AVP LocationPune, India Role Description We are seeking a Data Security Engineer to design, implement and manage security measures that protect sensitive data across our organization. This role focusses on the execution and delivery of Data Security solutions, focusing on configuration, engineering, and integration within a complex enterprise environment. While the role operates within Cybersecurity the person will collaborate with IT, Risk Management, and Business Units on a case-by-case basis, delving Data Loss prevention solutions. The ideal candidate understands and manages the existing tool stack within a complex environment, navigates through technical integration challenges and supports the transition from legacy solutions to new solutions within the pillar and across different areas of the bank. This role will work on specific tools like Symantec DLP, Zscaler but require the flexibility to evaluate and integrate new solutions like PaloAlto, Fortinet, Microsoft Purview and capabilities in existing cloud security solutions like Azure/GCP. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Policy Development and ImplementationDesign and implement data loss prevention policies, standards, and procedures to protect sensitive data from unauthorized access and disclosure. Risk AssessmentConduct regular assessments of our implementation to identify vulnerabilities and potential threats to the organization's data. Develop strategies to mitigate identified risks. DLP SolutionsEvaluate, deploy, and manage DLP solutions and technologies. Ensure that these tools are effectively integrated and configured to protect sensitive data across the organization. Monitoring and AnalysisMonitor data movement and usage to detect and respond to potential data breaches or policy violations. Analyse incidents to identify root causes and develop corrective actions. CollaborationWork with IT, legal, and business teams to ensure that DLP measures align with organizational goals and regulatory requirements. Provide guidance and support to stakeholders on data protection issues. Design and Implement data security frameworks, including encryption, tokenization and anonymization techniques within a hybrid environment Implement cloud-native security controls (e.g., CASB, CSPM, DSPM ) to protect data in SaaS, IaaS, and PaaS environments. Implement Digital Rights Management, encryption and tokenization strategies and solutions to protect data in hybrid environments and prevent unauthorized access and disclosure. Deploy and manage data discovery & classification tools to identify sensitive data across structured and unstructured sources. Implement automated classification and labeling strategies for compliance and risk reduction. Your skills and experience Technical Expertise 5+ years of hands-on experience in Data Security, Information Protection, or Cloud Security. Strong expertise in delivering Data Security platforms (Symantec, Netskope, Zscaler, PaloAlto, Fortinet, etc.). Knowledge of Cloud Service Provisioning and experience with Cloud Security (AWS, Azure, GCP) and SaaS data protection solutions. Experience with Cloud Security (CASB), SaaS Security Posture Management (SSPM), Data Security Posture Management (DSPM). Proficiency in network security, endpoint protection, and identity & access management (IAM). Scripting knowledge (Python, PowerShell, APIs) for security automation are a plus. Hands-on experience with AI/ML and data security related remediations are a plus. Soft Skills & Collaboration Strong problem-solving and analytical skills to assess security threats and data exposure risks. Ability to work cross-functionally with Security, IT, and Risk teams. Effective written and verbal communication skills, especially when documenting security configurations and investigations. Professional certifications such as CISSP, CISM, CCSP, GIAC (GCIH, GCFA), or CEH. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

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12 - 15 years

40 - 45 Lacs

Bengaluru

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Role Expectations: Lead enterprise solution architecture and define how Adobe Experience Cloud products integrate with other platforms. Own the solution blueprint, ensuring alignment with industry best practices and business objectives. Provide technical leadership in Adobe Experience Cloud solutions, including AEM, AEP, Workfront, Analytics, Target, CJA, AJO, and Edge Delivery. Conduct discovery workshops, gather business requirements, and develop scalable architecture for Adobe implementations. Guide development teams with hands-on technical expertise and ensure best practices in implementation, code quality, and performance tuning. Lead integration efforts between Adobe Experience Cloud and third-party solutions such as eCommerce, CDPs, CRMs, AI/ML platforms, and legacy systems. Support RFP solutioning, preparing delivery estimations, staffing plans, technical architecture decks, and scope documents for client engagements. Act as a trusted advisor for clients, handling technical presentations, client visits, and strategic roadmaps for Adobe adoption. Mentor and grow internal teams, fostering Adobe SME expertise across AEM, AEP, and other Adobe products. Oversee DevOps practices, including CI/CD pipelines, cloud automation, and performance optimization for Adobe solutions. Ensure compliance with data privacy laws (GDPR, CCPA) and enterprise security policies Must Have Deep expertise in Adobe Experience Cloud: AEM (Sites, DAM, Edge), Workfront, Adobe Analytics, Adobe Target, AEP RTCDP, CJA, AJO. System integration & API management: Strong experience integrating Adobe solutions with third-party platforms (eCommerce, CRM, AI/ML, DAM, CDPs). Cloud & Headless CMS knowledge: Familiarity with Drupal, Sitecore, Contentful, and headless content delivery strategies. Enterprise authentication & security: OAuth, SAML, SSO, LDAP integration. Multi-solution orchestration: Ability to design personalized customer journeys across online and offline channels using Adobe Journey Optimizer (AJO) & AEP. Experience migration: Large-scale content migration from other CMS platforms to AEM as a Cloud Service (AEMaaCS). Omnichannel content delivery: Strong experience with AEM Edge Delivery, Content & Experience Fragments, and headless content APIs. DevOps & automation: CI/CD pipelines using Adobe Cloud Manager, Jenkins, Maven etc. Solutioning & stakeholder management: Ability to present solutions to clients, handle RFPs, and drive technical discussions. Strong troubleshooting skills for resolving Workfront and Fusion-related issues Nice to Have Experience in AI-powered content optimization (Adobe Sensei, AI/ML-driven personalization). Hands-on expertise in RESTful APIs, GraphQL, Adobe I/O Runtime & SDKs. Knowledge of front-end frameworks such as React, Angular, Vue.js for AEM implementations. Experience with Adobe GenStudio, Smart Tagging, and Scene7 for asset management. Understanding of AEM Forms and automation workflows. Hands-on Adobe Campaign Classic (ACC) & Standard (ACS) integration experience. Experience 12+ years of experience in digital experience architecture and enterprise integration. Proven track record of leading large-scale Adobe Experience Cloud implementations. Experience with multiple CMS migrations (Drupal, Sitecore, Contentful AEM). Delivered at least 5+ AEM implementations and 3+ multi-solution Adobe Experience Cloud integrations. Led RFP solutioning, client workshops, and technical pre-sales discussions for Adobe projects. Certifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Adobe Certified Expert / Master Architect in AEM, AEP, Analytics, Workfront or Target.

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3 - 8 years

18 - 22 Lacs

Noida, Chandigarh

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The Senior Full Stack Python Engineer is responsible for developing and maintaining robust, scalable, and efficient software solutions. This role requires: Deep understanding of Python programming and familiarity with additional languages like Java and .NET. Extensive knowledge of NoSQL and SQL databases, with significant experience in Microsoft Azure, particularly Cosmos DB. Comprehensive understanding of microservices architecture and best practices in software development. Proficiency with Generative AI models such as OpenAI, Mistral, Claude, Gemini, Llama and schema-driven prompt engineering. Full-stack development capabilities, including front-end UI/UX development using React. Roles and Responsibilities Design, develop, and maintain high-quality Python applications. Demonstrate expertise in working with both NoSQL and SQL databases. Leverage experience with Microsoft Azure services, especially Cosmos DB. Architect and implement microservices-based applications. Utilize advanced knowledge of schema-driven prompt engineering and Generative AI models. Construct and maintain APIs, integrating various systems. Engage with stakeholders to gather requirements and translate them into software solutions. Apply meticulous attention to detail and excellent communication skills. Operate within Agile teams, applying Agile methodologies. Enhance user experience by creating intuitive user interfaces from Figma mockups.

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4 - 9 years

30 - 45 Lacs

Hyderabad

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You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

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4 - 9 years

5 - 8 Lacs

Jaipur

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Role & responsibilities Deliver engaging and hands-on training sessions for students/professionals. Design and update course materials, lesson plans, and assessments. Provide real-world examples and case studies to enhance learning. Guide participants through practical exercises, coding challenges, and projects. Evaluate student performance and provide constructive feedback. Stay updated with the latest industry trends and incorporate them into training. Conduct guest lectures, boot camps, or hackathons as required. Preferred candidate profile Strong expertise in AIML with hands-on experience. Prior experience in corporate or academic training is preferred. Excellent presentation, communication, and mentoring skills. Familiarity with online coding platforms like LeetCode, CodeChef, HackerEarth. Knowledge of industry best practices and real-world applications. Bachelors/Masters degree in relevant field or equivalent professional experience. Certifications in relevant technologies are a plus. Interested candidates can share their profile at neha.agarwal@xebia.com.

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5 - 10 years

5 - 12 Lacs

Gurugram

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Experience in AI/ ML, Microsoft Power Platform, Python, SQL, Implementation and Architecture designing. Any experience in working with Data Analytics tools like Power BI, Spotfire etc. Email id- ta6@nippondata.com

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5 - 10 years

10 - 20 Lacs

Pune

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Experts from engineering, AI/ML, product management and delivery in a multi- disciplinary squad, building business critical applications for bp's production & operations business. As a Software Engineer, you will be responsible for building, maintaining and fixing the software and services that powers our technology solutions Capable in at least one programming language (C#, Python, or TypeScript) developing cross-platform solutions. Capable in writing secure, stable, testable, and maintainable code with minimal defects Demonstrable professional software development experience Capable in software engineering practices & standard processes for full SDLC, including coding standards, code reviews, source control management, continuous deployments, testing, and operations Capable in building and scaling infrastructure services using Microsoft Azure

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6 - 11 years

22 - 27 Lacs

Noida

Hybrid

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Must have: Python programming, Frameworks Good to Have: AI exposure, Cloud, AirFlow Solid coding skills in Python , Pandas, Numpy, Airflow ,scikit-learn, TensorFlow/PyTorch, and web frameworks like Flask Ability to integrate generative models into production environments and optimize their performance Proficient in using frameworks such as TensorFlow, PyTorch, and Keras for building and training generative models. Familiarity with Java, cloud technologies, and DevOps tools such as Jenkins, Kubernetes, and GitHub Actions is a plus Solid individual contributor with expertise in NLP, AI, and ML Good knowledge of front-end tools such as HTML, CSS, JavaScript, and Angular Skilled in creating synthetic data and enhancing data quality using generative techniques. Expertise in applying generative AI for various applications, including image synthesis, text generation, and style transfer Well versed in Data Structures & Algorithms

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1 - 6 years

5 - 12 Lacs

Bengaluru

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Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW

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5 - 10 years

15 - 30 Lacs

Hyderabad, Chennai, Bengaluru

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Location: Remote Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the FinancialServices Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI

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2 - 7 years

14 - 20 Lacs

Chennai

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Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years. We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains Bachelor's or Master's degree in Computer Science, AI, or a related field. Strong proficiency in Python and familiarity with relevant libraries and frameworks (NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, etc.). Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch, with a focus on NLP applications. Familiarity with cloud platforms (e.g., Azure, Google Cloud) Experience with Django, Flask, or similar web frameworks for API development. Proficiency in SQL for data manipulation and analysis. Strong communication skills and ability to collaborate effectively in a cross-functional team environment. Experience with telecom integrations (e.g., Avaya, Twilio) would be advantageous. Develop and implement enterprise solutions for document processing, utilizing cutting-edge technologies like large language models and generative AI. Handson working with Azure Services, Large Language Models like GPT3.5-Turbo, GPT-4 etc

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11 - 17 years

25 - 30 Lacs

Hyderabad

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ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking a highly skilled and experienced Principal AI Solution Architect to join our dynamic team. The candidate will lead the AI Solutioning and Designing across Enterprise Teams and cross-functional teams. They will primarily be working with the MDM CoE to lead and drive AI solutions and optimizations and also provide thought leadership. The role involves developing and implementing AI strategies, collaborating with cross-functional teams, and ensuring the scalability, reliability, and performance of AI solutions. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledg . Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities Lead the Designing, solutioning and development of enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face. Architect intelligent pipelines using PySpark , TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience Master’s degree with 11 - 1 4 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor’s degree with 1 5 - 16 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 1 7 - 1 8 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 1 4 + years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain , Autogen , Hugging Face, OpenAI APIs, and embedding models. Expertise in AI/ML solution architecture and design , knowledge of industry best practices Experience desining GenAI based solutions using Databricks platform Hands-on experience with Python, PySpark , PyTorch , LLMs, Vector DB, Embeddings, SciKit , Langchain , SK-learn, Tensorflow , APIs, Autogen , VectorStores , MongoDB, DataBricks , Django Strong knowledge of AWS and cloud-based AI infrastructure Excellent problem-solving skills Strong communication and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders Experience in managing and mentoring junior team members Must be able to p rovide thought leadership to the junior team members Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores , and modern architecture principles for scalable GenAI applications. Professional Certifications Any Data Analysis certification (SQL , Python, Other DBs or Programming languages ) Any cloud certification (AWS or AZURE) Data Science and ML Certification s Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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2 - 4 years

3 - 7 Lacs

Hyderabad

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Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. What you will do Let’s do this. Let’s change the world. In this vital role We are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer – Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. . Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs). Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake). Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication. Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure. Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery. Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need . Basic Qualifications: Degree in computer science & engineering preferred with 9-12 years of software development experience Proficient in AI Model, NLM, AI, Python, Elasticsearch OR Solr OR OpenSearch, GraphQL, No SQL, Cloud CI/CD build pipelines, API Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS). Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python Proficient in Databricks, Java Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA. Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production. Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases). Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote 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. Thrive What you can expect from us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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15 - 24 years

35 - 50 Lacs

Pune, Chennai, Bengaluru

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Job Title: Chief Architect / Principal Architect - AI & Digital Solutions (Leadership Role Pre-sales) Location: Chennai / Pune / Noida / Bangalore / Hyderabad About the Role: We are seeking a visionary Chief Architect / Principal Architect with a strong leadership focus, who brings deep expertise in AI, Cloud, and Enterprise Architecture combined with a strategic mindset for pre-sales and solution consulting . This dual-role position is perfect for a seasoned technologist who thrives at the intersection of AI/ML, Agentic AI, RAG, MLOps, Data Engineering, Cloud Architecture , and digital transformation consulting . You will not only define the strategic vision and architecture of next-generation platforms but also lead and scale pre-sales engagementscrafting compelling solutions, engaging with customers, and converting opportunities into tangible outcomes. Key Responsibilities: Lead the architecture and design of AI-driven platforms, Agentic AI solutions, and cloud-native enterprise applications . Architect and oversee the development of scalable LLM-based chatbot solutions, Knowledge Management AI systems, and RAG pipelines . Design secure and efficient cloud architectures with deep expertise in Azure, AWS, or GCP . Drive innovation through hands-on prototyping, PoCs, and feasibility analysis of Generative AI models, multi-LLM integration, and LangGraph workflows . Collaborate with cross-functional teams, including Product, Data Science, DevOps, and Engineering , to align AI solutions with business goals. Provide technical leadership in IT strategy for startups , advising on AI adoption, cloud transformation , and scalable product architectures . Lead and manage the pre-sales team for digital transformation projects , working closely with sales, marketing, and delivery teams to create customized solutions, present proposals, build client trust, and accelerate business growth. Respond to RFPs, create reusable solution accelerators, and design end-to-end architectures for client demos and strategic pursuits. Participate in client workshops, understand pain points, and translate business needs into actionable technical roadmaps. Head the Architecture practice and provide executive leadership , establishing frameworks, best practices, and governance for enterprise-wide technology strategy. Key Qualifications: 15+ years of experience in software architecture, cloud computing, and AI/ML-driven solutions . Strong background in DevOps, CI/CD , and cloud-native architectures (Azure, AWS, GCP) . Experience in designing and deploying secure, scalable, and cost-optimized data platforms . Deep knowledge of enterprise AI solutions, chatbot development, and AI-powered process automation . Strong leadership and communication skills, with a track record of mentoring teams and driving architectural excellence. Experience working with startups or innovation labs to build and scale AI-driven products. Extensive experience in product development across B2C and B2B domains ; experience in the Payment Domain will be a plus. Proven success in cloud migration, modernization initiatives , and building secure authentication flows using OAuth2, SAML2 , and social logins . Expertise in integrating complex systems using ETL pipelines, Queuing solutions , and Enterprise Integration products . Demonstrated ability to balance strategic oversight with hands-on technical execution . Why Join Us? Competitive Compensation: We offer industry-leading salaries that reflect your expertise and contributions. Dynamic Work Culture: Experience a flat organizational structure with flexible work arrangements, including remote work options, fostering autonomy and collaboration. Professional Development: Benefit from sponsored training, attendance at industry events, and educational conferences to enhance your skills and stay ahead in AI and cloud technologies. Wellness Programs: Participate in initiatives designed to support your physical and mental well-being, ensuring a balanced work-life experience. Inclusive Environment: Join a team that values diversity and provides equal opportunities for all employees, fostering a culture of innovation and respect. Corporate Social Responsibility: Engage in meaningful projects that give back to the community, such as collaborations with esteemed organizations. Empowerment Initiatives: Take advantage of programs supporting professionals resuming their careers with flexible work options. Be part of a proven leadership team that champions code quality, design congruence, and innovation , helping you grow in both technical and leadership dimensions . At MSys Technologies, we are committed to fostering an environment where innovation thrives, and employees are empowered to excel in their careers. If you are a hands-on architect who thrives in AI, cloud, and enterprise transformation, and want to climb the leadership ladder , we’d love to connect!

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2 - 5 years

8 - 10 Lacs

Nagpur

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Job Description: AI/ML Developer Location: Nagpur Company: HSM Edifice Construction Services Experience: 3+ Years Job Type: Full-time About Us: HSM Edifice Construction Services is a leader in the construction industry, known for its innovative solutions and commitment to excellence. We are seeking an experienced and passionate AI/ML Developer to join our team and contribute to the development of intelligent systems that enhance our construction services and streamline operations. Key Responsibilities: Design, develop, and deploy machine learning models and AI-driven applications tailored for the construction industry. Analyze large datasets to extract meaningful insights and drive data-driven decision-making. Build predictive models for project forecasting, risk analysis, and resource optimization. Implement deep learning and machine learning algorithms for computer vision. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Continuously monitor and optimize AI models for performance, scalability, and accuracy. Document and maintain code, algorithms, and project details for future reference. Research and stay updated on the latest advancements in AI/ML technologies and best practices. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field. Minimum of 3 years of experience in AI/ML development. Proficiency in programming languages such as Python, R, or JavaScript . Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-Learn . Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Strong understanding of computer vision, OCR. Knowledge of cloud platforms like AWS, Google Cloud, or Azure for model deployment. Excellent problem-solving skills and ability to work in a team-oriented environment. Strong communication skills for effective collaboration with technical and non-technical stakeholders. Preferred Skills: Experience with Big Data technologies such as Hadoop or Spark. Knowledge of construction domain-specific applications of AI/ML. Exposure to IoT, edge computing, and real-time analytics . Understanding of DevOps practices for continuous integration and deployment. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. Collaborative and innovative work environment. Exposure to cutting-edge AI/ML projects in the construction domain. If you are passionate about leveraging AI to revolutionize the construction industry, apply now to join our team at HSM Edifice Construction Services. Drop your resume at hr@hsmedifice.com

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8 - 12 years

25 - 37 Lacs

Hyderabad, Chennai

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Solution Architect Exp: 8-12 Years Location: Chennai(Preferred)/Hyderabad Organization: Intellect Design Arena - Product Organization ------------------------------------------------------------------------------------------------------------------------------------------------------------ As a Solution Architect, you will be at the forefront of designing and implementing advanced AI-driven solutions that address the complex needs of our clients. Collaborating closely with our engineering, product, and business teams, you will guide deployment efforts, ensure seamless integration within client environments, and craft sustainable, scalable system architectures. You will also play a key role in setting the strategic direction of our customer engagements, providing technical leadership, and driving innovation in the application of our Gen AI platform. We are looking for a professional with a strong grasp of system architecture, particularly in the AI and machine learning domains, who can combine technical insight with a deep understanding of client needs. In this role, you will advise our product teams on design considerations, compliance with regulatory requirements, and adaptability to various operational environments. Your expertise will help bridge the gap between technical vision and real-world implementation, ensuring that our solutions meet both current and future needs. Successful candidates will have backgrounds as Software Architects, AI Solution Architects, or Enterprise Architects, particularly in cloud-based or distributed systems. You will become an expert in our Gen AI platform, understanding both its capabilities and the governance and security requirements of our clients. You will independently manage complex challenges while maintaining a collaborative approach, working closely with internal teams to deliver comprehensive, secure, and innovative solutions. Key Responsibilities: Lead the design and architecture of AI-focused technical solutions, factoring in security, scalability, network requirements, and resource optimization. Act as a primary technical advisor to clients, providing expert guidance on the architecture and secure deployment of our Gen AI solutions. Influence the development of our product roadmap, aligning it with compliance needs and emerging trends in AI, cloud, and security technologies. Produce detailed architectural documentation, visual diagrams, and technical specifications to support deployment and client understanding. Provide mentorship and technical direction to deployment teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full lifecycle of AI model development and deployment, including data processing, model training, and real-time inference. Strong understanding of information security principles, including encryption, identity management, network protection, and security monitoring. Expertise in modern software development, continuous integration, continuous delivery (CI/CD), and infrastructure as code. Solid grasp of networking protocols and operating system fundamentals, with the ability to troubleshoot and optimize complex environments. Ability to navigate ambiguous, high-stakes technical problems independently while working effectively with cross-functional teams. Proven client-facing skills, capable of translating complex technical concepts into clear, actionable insights for business stakeholders. 5+ years of relevant industry experience in roles requiring a blend of technical depth and architecture leadership. Familiarity with Kubernetes, container orchestration, and microservices architectures is a plus. Interested folks can reach out to bicky.nath@intellectdesign.com

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8 - 13 years

12 - 16 Lacs

Ghaziabad, Gautam Buddha Nagar, Delhi / NCR

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Job Description HR/TA/JD/0125 GL Bajaj (Institute of Technology & Mgmt.) A Glimpse! Passionate education provider in multi disciplines at undergraduate and postgraduate level (B.Tech, MBA, MCA) Vibrant Learning Ecosystem on the campus, has inspired and brilliant students. GL Bajaj Group was incepted in year 1997 , carrying a winning legacy of 12 institutions running diverse higher education programs. GL Bajaj Group, has +14,000 students, +800 faculty members , 12 institutions, and 6 campuses with +300 acres of land. NAAC A+ accredited, 4 stars from Ministry of Education, NIRF rank holder, Research & Incubation centre, Entrepreneurship development and top quality placement for students Vision to give globally competent & socially sensitive professionals to the society. Highly inquisitive students who take risks, experiment, and put novel ideas into action. Sharpens the Technical as well as Life Skills of students Developing young leaders. Have world class collaborative LEARNING infrastructure for teaching & learning practices. Hiring Distinguished faculty members from the Institutes of repute . We nurture versatile INTRAPRENEURs . Our core belief is in nurturing Diverse, inclusive, equity knowledge gems Hi Tech Campus has a beautiful , serene environment & students enjoy learning. Believes in relentless change and desire to improve . We are looking for passionate researchers/out of box thinkers/academicians who have a go-getter attitude, have fire to innovate , works with technology driven progressive mindset and execute the concept of sustainability in each task ( paperless ) in learning process delivery. We are offering to the right candidate an excellent compensation package along with the tools and the environment to foster intellect and new ideas. If you want to CONTRIBUTE meaningful to the society at large, join us & Find your SPARK! ABOUT JOB Designation: Professor for CSE and allied courses AI/AIML/DS-Data Science/IT Job Purpose & Role: To teach, research and serve for academic, institutional & students growth & development. Work Information C.1 Research To lead and coordinate research activity in the subject area. To publish the outcomes of research , with a record of securing publications in internationally rated journals of high standing . To publish research disseminated in scholastic or professional practice publications. To have proven experience of securing significant external funding from prestigious funders and a record of successfully leading and managing research projects , people and resources. To foster an environment which encourages research among students at undergraduate and graduate level. To lead research initiatives with colleagues and a wide range of external collaborators including internationally funded research projects as appropriate. To do quality research, have good academic record and books/research paper publications/IPR/patents record. To promote and represent the GL Bajaj at National & International level to facilitate in branding. To manage research and other collaborative partnerships with other Institutions and external bodies. To continue to build on an established record of invited international keynote conference presentations and prestige lectures. To enhance the GL Bajajs reputation with professional/scholarly bodies e.g. by promoting public understanding of the subject. C.2 Learning & Teaching To have strong command on subject knowledge of Computer Science & Allied Courses ( Core CSE /AI/AIML/Data Science/IT). To teach undergraduate and postgraduate students, and to carry out the associated examining processes. To apply and promote best teaching practice , demonstrating continuous professional development and critical reflective practice. To use and promote the use of a range of methods and techniques in teaching, learning and assessment including pursuing digital and modern methods of delivery . Have an ability to stay abreast on the latest trends and development in the subject area. Proven experience of excellent delivery of the subject for the students and achieve the best results /awards/positions in the affiliated university ( AKTU Abdul Kalam Technical University). To fulfill responsibility concerning students in respect of instruction, progress, and examination. To lead the development and clarification of academic standards and quality for the subject area. To work with the leadership team to lead the development & implementation of student learning strategy & innovative assessment methods Meaningfully engaging students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To conduct courses as per syllabus and ordinance issued by the AKTU university from time to time. To provide an opportunity to students to work on live projects. To connect industry with academia for providing hands on experience leading to skill development of students. To guide junior faculty members to prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students C.3 GL Bajajs Citizenship and Ownership of Responsibilities To participate in continuing professional development e.g. through seminars or conferences and by engaging in training programmes run by the Institution which are consistent with the needs and aspirations of the academics. To support, mentor and facilitate seminars, training activities, cross-departmental activities and events and Ceremonies etc. To demonstrate the GL Bajajs values through own actions and behaviour . To undertake such other duties as may be reasonably requested and that are commensurate with the nature and grade of the post. To engage in continuous personal and professional development in line with the demands of the role, including undertaking relevant training and development activities to develop themselves and support the development of others. To ensure Quality (NBA, ISO, NAAC) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids , Laboratory facilities To ensure and promote the personal health, safety and wellbeing of staff and students. To carry out duties in a way which promotes fairness in all matters , and which engenders trust. APTITUDE & SKILLs D.1 Ability to Manage and Nurture: Innovative Learning and Teaching Academic Development Academic domain knowledge National (UGC/NBA/NAAC etc.)/International Sustainable Research & Departmental Resources Foster Departmental Performance Facilitate in developing Strategic Plans Ability to lead the development and implementation of research strategy and/or teaching. Ability to lead on the design and development of the curriculum. Highly developed communication and presentation skills to present research findings at national and international conferences Ability to harness IT as a research and teaching tool A willingness to undertake further training as appropriate and to adopt new procedures as and when required D.2 Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia Qualification & Years of Experience as per AICTE/UGC norms: B.E./B.Tech/B.S. & M.E./M.Tech/M.S. & PhD IT/CSE subjects from Top tier Institutes & reputed universities like IITs, NITs, IIITs, IISc etc. and throughout first class. PhD Degree in subject from the Top Tier Institutes & reputed university 10+ years of experience in teaching/ research out of which 3 years at Associate Professor At least 6 research publications at the level of Associate Professor in SCI journals / UGC / AICTE approved list of journals and guided 2 PhD students as Supervisor / Co-supervisor is highly desirable. OR At least 10 research publications at the level of Associate Professor in SCI journals / UGC / AICTE approved list of journals Industry & Global Experience is desirable. Salary as per norms Location: Greater Noida, Delhi/NCR Apply for the position by sending your CV on careers@glbitm.ac.in Visit our websites career page at www.glbitm.org

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8 - 12 years

50 - 70 Lacs

Bengaluru

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Data Scientist About us: We are a Martech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Lead Data Scientist to guide and grow our data science team. Role Summary : As the Lead Data Scientist, you will head our existing data science team, driving the development of advanced machine learning models and AI solutions. You will play a pivotal role in shaping our ML/AI strategy, leading projects across NLP, deep learning, predictive analytics, and recommendation systems, while ensuring alignment with business goals. This role combines hands-on technical leadership with strategic decision-making to build impactful solutions for our customers. Key Responsibilities: Leadership and Team Management : • Lead and mentor the existing data science engineers, fostering skill development and collaboration. • Provide technical guidance, code reviews, and ensure best practices in model development and deployment. Model Development and Innovation : • Design and build machine learning models for tasks like NLP, recommendation systems, customer segmentation, and predictive analytics. • Research and implement state-of-the-art ML/AI techniques to solve real-world problems. • Ensure models are scalable, reliable, and optimized for performance in production environments. We operate in AWS and GCP, so its mandatory that you have previous experience in setting up the MLOps workflow in either of the cloud service provider. Business Alignment : • Collaborate with cross-functional teams (engineering, product, marketing, etc.) to identify opportunities where AI/ML can drive value. • Translate business problems into data science solutions and communicate findings to stakeholders effectively. • Drive data-driven decision-making to improve user engagement, conversions, and campaign outcomes. Technology and Tools : • Work with large-scale datasets, ensuring data quality and scalability of solutions. • Leverage cloud platforms like AWS, GCP for model training and deployment. • Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. • With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex. Qualifications : Education : • Masters or PhD in Computer Science, Data Science, Mathematics, or a related field. Experience : • With an industry experience of more than 8 years with 5+ years of experience in data science, and at least 2 years in a leadership role managing a strong technical team. • Proven expertise in machine learning, deep learning, NLP, and recommendation systems. • Hands-on experience deploying ML models in production at scale. • Experience in Martech or working on customer-facing AI solutions is a plus. Technical Skills : • Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch. • Strong understanding of statistical methods, predictive modeling, and algorithm design. • Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar). Soft Skills : • Excellent communication skills to present complex ideas to both technical and non technical stakeholders. • Strong problem-solving mindset and the ability to think strategically. • A passion for innovation and staying up-to-date with the latest trends in AI/ML. Why Join Us: • Opportunity to work on cutting-edge AI/ML projects impacting millions of users. • Be part of a collaborative, innovation-driven team in a fast-growing Martech company. • Competitive salary, benefits, and a culture that values learning and growth.

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3 - 8 years

30 - 45 Lacs

Chennai

Remote

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Keytag.ai are looking for AI/LLM engineers with to join our team building a new global LLM operations and agent framework for a large pharmaceutical organization. We are rolling out an eco-system of LLM Agents to generate documents, to automate workflows, and to perform new tasks across the organization. We are using cloud hosted and on-prem models as appropriate to the business area, and combining RAG, fine-tuning and some training. This a great opportunity to work with all aspects of Generative AI, in a startup mode with the security of company that has fixed customer contracts for the coming years. Core Skills Required Experienced in developing RAG based LLM solutions, handling all aspects from document splitting and chunking strategies, domain specific retrieval strategies, prompt development, performance tuning and production troubleshooting. Good understanding of LangChain and LangGraph libraries. Strong Python development and code design skills. Experienced in all aspects of data engineering and operations Ability to develop in Linux Environment, VSCode, github. Self starter keen to learn, enjoys delivering solutions, happy to give opinions and influence the design as well as the development of solutions. Additional Desirable Skills : Development of domain specific and/or task specific Agents in langgraph or another library. Experience designing and developing multi-agent flows. Experience with Langfuse, DeepEval or DPSy Fine-Tuning of models (and sample generation) to understand an organizations vernacular and services. Experience with multiple model providers eg Openai, Azure Openai, Lllama, Falcon. Experience using Neo4j, Redis, Fastapi, Airflow. What the role will involve : Working with the business on specific use cases to develop Agents to perform specific tasks and fit within our existing agent framework. Use cases are a variety of question answering and summarization, document and asset generation, workflow automation, and brand new tasks to replace complex human analysis. Enhancing our agent framework and ecosystem as requirements change and Gen AI technology advances. Creating a suite of models that can be used by the business; fine-tuned organization LLM and smaller task/domain specific llms. Using both cloud and on-prem open source models as appropriate. Enhancing our MLOps practices and improving our testing automations Sourcing and mapping data from a wide range of services including neo4j and relational databases, SAAS services, security and general business document stores. It is a remote role but there is plenty of interaction with the rest of the team, with daily standups and shared tasks, as well as directly working with customers on projects to discuss changes, implement, troubleshoot solutions etc. Benefits Remote work opportunity, providing flexibility and work-life balance. Medical insurance coverage for you and your family. Join a friendly and well-organized team with an open communication style. Continuous opportunities to grow your technical and soft skills.

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3 - 4 years

9 - 15 Lacs

Hyderabad

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We are searching for an experienced Data Scientist with a strong background in AI/ML and Generative AI to join our dynamic product development team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients. RESPONSIBILITIES & DUTIES: Research and develop AI/ML and GenAI methods and applications Collaborate with product management to understand company needs and devise clever solutions. Clearly communicate results and ideas to influence decision making Implement new statistical, AI/ML, or other mathematical methodologies as needed to solve real business problems Keep up to date with the latest technological trends, especially in AI/ML and Generative AI. Develop solid proof of concept and at least one production-level Generative AI application. QUALIFICATIONS : Bachelors degree with at least one year of experience (not including internships or projects at institutes). Expert level Python programming and application development skills and experience. Extensive background in data science, statistical analysis, and AI/ML. Proven expertise in developing Generative AI applications.

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10 - 14 years

15 - 20 Lacs

Bengaluru

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Skill required: NA - Business Transformation Designation: Business Transformation Assoc Manager Qualifications: BE/BCom/Any Graduation Years of Experience: 10 to 14 years Language - Ability: English - Expert What would you do? In this role you are required to do analysis and solving of moderately complex problems. Identify process risks & conduct regular forecast vs incoming vs completion analysis. The person would require understanding of the strategic direction set by senior management as it relates to team goals Daily staffing planning and management of SLA's & KPI's Ensure weekly basis highs and lows are highlighted and zero surprise framework implemented. Drive process improvements and ideation and probable automation opportunity Manage quality, controls, risk & compliance aspect for the deal Plan & coordinate requirements of scheduling, training, recruitment, Capacity & Seat Utilization etc Deliver Transitions smoothly Ensure data management governance is followed Review of MI, analysis, and improvement plans Six Sigma Black Belt Certified from renowned organizations/certification body (ASQ, Benchmark Six Sigma, ISI, KPMG etc.) which includes experience in identifying & leading Kaizen or Lean (Mandatory) 12-18 years of Business Transformation/Excellence experience in Life & Annuities Client Services/ Group Retirements/Individual Retirements serving clients across shared services/Third Party BPO service providers (Mandatory) Hands-on experience in identification of RPA, Analytics & AIML opportunities and project execution (Mandatory) Exposure to ISO , CMMi Level 5 CVC and other Quality Standards (Mandatory) Understanding of E2E Life Insurance cycle & Retirements (Benefit Administration - Direct Benefits and Contributions)In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for? Business Transformation Data Visualization Process Innovation Problem Solving Risk Management Certifications: Six Sigma-Black Belt - Six Sigma; LOMA - ALMI - LOMA Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification BE,BCom,Any Graduation

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2 - 6 years

4 - 6 Lacs

Hyderabad

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Job Title S&C GN AI Managed service Data Operations Analyst Management Level:11 Analyst Location:Hyderabad Must have skills:Python, Pyspark, Databricks, AI/ML Good to have skills:cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models, Exposure to Retail, Banking, Healthcare projects. Job Summary : An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Bachelor's or Master's degree in any engineering stream or MCA. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Qualifications Experience:Minimum 2+ year(s) of experience is required Educational Qualification:B.Tech/BE or MCA

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8 - 12 years

20 - 25 Lacs

Bengaluru

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Job Title - Solution Architecture_Digital Commerce & Digital Marketing + Manager + Global Song Management Level :07 - Manager Location:Bangalore Must have skills: Analytics Good to have skills: Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce Job Summary :The Marketing & Digital Commerce Value Architect focuses on building business cases that Identify the value proposition that we as ACN can deliver to a current client/prospect using our Marketing & Dig. Comm. offering and the levers/services that we can deliver them through. Roles & Responsibilities: Responsible for building a quantified value proposition outlining the expected benefits that we can drive for a client (i.e. Revenue Increase, Cost Reductions, Brand Equity increase etc..) given the client maturity, performance of peers in the industry and industry specific trends Responsible for driving pursuit team/ deal team/client buy in into the value proposition and subsequent inclusion into the client response decks/evolution into outcome-based deals Responsible for managing a 4-member team of value architects and help them deliver innovative business cases/ensure client buy-in Responsible for working with the pursuit team to assess the marketing & dig. Commerce operations maturity of a client (w.r.t. 12-15 key marketing metrics such as Churn Rate, Sales Conversion Rate etc..) through client inputs & secondary research Responsible for upkeep & refinement of industry benchmarks against the 12-15 marketing/dig. comm. metrics to help assess the maturity of prospects & identify improvements that we can help drive Responsible for working with SMEs to refine the value proposition based on ACN experience of having driven it across clients with similar maturity within the same industry Responsible for innovating on the approach/process to build value propositions to clients Professional & Technical Skills: Total 8-12 years of experience in Digital Marketing/Digital Commerce, with understanding of typical business problems that functions like marketing or dig. commerce face within client organizations & typically resolution approaches Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce and prior hands-on experience in working with some of them/ability to help clients identify how to derive more benefits as opposed to their current usage Understanding of industry specific challenges and ability to customize approaches/value proposition in accordance with them Prior experience in building business value cases/proposals to highlight the Business Outcome improvements that can be driven Quantitative skillsets – Working knowledge of Excel/Power Point is a must MBA or equivalent from a reputable school / program is highly desirable Proposal building experience/Sales experience in Marketing Operations/Digital Commerce Operations and/or analytics is highly desirable Additional Information: - The ideal candidate should possess a strong background on building business cases that identify value proposition to deliver to clients using Marketing & Digital Commerce- This position is based at our Bengaluru office. About Our Company | Accenture

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8 - 12 years

20 - 25 Lacs

Bengaluru

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Job Title - Solution Architecture_Digital Commerce & Digital Marketing + Manager + Global Song Management Level :07 - Manager Location:Bangalore Must have skills: Analytics Good to have skills: Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce Job Summary :The Marketing & Digital Commerce Value Architect focuses on building business cases that Identify the value proposition that we as ACN can deliver to a current client/prospect using our Marketing & Dig. Comm. offering and the levers/services that we can deliver them through. Roles & Responsibilities: Responsible for building a quantified value proposition outlining the expected benefits that we can drive for a client (i.e. Revenue Increase, Cost Reductions, Brand Equity increase etc..) given the client maturity, performance of peers in the industry and industry specific trends Responsible for driving pursuit team/ deal team/client buy in into the value proposition and subsequent inclusion into the client response decks/evolution into outcome-based deals Responsible for managing a 4-member team of value architects and help them deliver innovative business cases/ensure client buy-in Responsible for working with the pursuit team to assess the marketing & dig. Commerce operations maturity of a client (w.r.t. 12-15 key marketing metrics such as Churn Rate, Sales Conversion Rate etc..) through client inputs & secondary research Responsible for upkeep & refinement of industry benchmarks against the 12-15 marketing/dig. comm. metrics to help assess the maturity of prospects & identify improvements that we can help drive Responsible for working with SMEs to refine the value proposition based on ACN experience of having driven it across clients with similar maturity within the same industry Responsible for innovating on the approach/process to build value propositions to clients Professional & Technical Skills: Total 8-12 years of experience in Digital Marketing/Digital Commerce, with understanding of typical business problems that functions like marketing or dig. commerce face within client organizations & typically resolution approaches Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce and prior hands-on experience in working with some of them/ability to help clients identify how to derive more benefits as opposed to their current usage Understanding of industry specific challenges and ability to customize approaches/value proposition in accordance with them Prior experience in building business value cases/proposals to highlight the Business Outcome improvements that can be driven Quantitative skillsets – Working knowledge of Excel/Power Point is a must MBA or equivalent from a reputable school / program is highly desirable Proposal building experience/Sales experience in Marketing Operations/Digital Commerce Operations and/or analytics is highly desirable Additional Information: - The ideal candidate should possess a strong background on building business cases that identify value proposition to deliver to clients using Marketing & Digital Commerce- This position is based at our Bengaluru office. About Our Company | Accenture

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Exploring AI/ML Jobs in India

With the rapid advancement of technology, the demand for professionals skilled in Artificial Intelligence (AI) and Machine Learning (ML) is on the rise in India. Companies across various industries are looking to harness the power of AI and ML to drive innovation and improve business processes. For job seekers interested in pursuing a career in AI/ML, India offers a plethora of opportunities.

Top Hiring Locations in India

  1. Bangalore
  2. Hyderabad
  3. Pune
  4. Mumbai
  5. Delhi/NCR

These cities are known for their vibrant tech ecosystems and have a high concentration of companies actively hiring for AI/ML roles.

Average Salary Range

The average salary range for AI/ML professionals in India varies based on experience and location. Entry-level positions typically start at around INR 6-8 lakhs per annum, while experienced professionals can earn upwards of INR 15-20 lakhs per annum.

Career Path

A typical career progression in AI/ML may involve starting as a Junior Data Scientist or ML Engineer, then advancing to roles such as Senior Data Scientist, AI/ML Specialist, and eventually reaching positions like Tech Lead or AI/ML Architect.

Related Skills

In addition to AI/ML expertise, professionals in this field are often expected to have proficiency in programming languages such as Python, R, or Java, as well as knowledge of statistical modeling, data analysis, and problem-solving skills.

Interview Questions

  • What is the difference between artificial intelligence and machine learning? (basic)
  • Explain the bias-variance tradeoff. (medium)
  • Can you explain the concept of backpropagation in neural networks? (advanced)
  • What is overfitting in machine learning? How can it be prevented? (medium)
  • Describe the differences between supervised and unsupervised learning. (basic)
  • How do you handle missing data in a dataset? (medium)
  • What are the different types of machine learning algorithms? (basic)
  • Explain the concept of regularization in machine learning. (medium)
  • What is the role of activation functions in neural networks? (medium)
  • How do you evaluate the performance of a machine learning model? (basic)
  • What is the curse of dimensionality in machine learning? (advanced)
  • Can you explain the working of a support vector machine (SVM)? (medium)
  • What is deep learning, and how is it different from traditional machine learning? (basic)
  • How can you prevent overfitting in a neural network? (medium)
  • Explain the concept of gradient descent in the context of machine learning. (medium)
  • What is the ROC curve, and what is its significance in machine learning? (medium)
  • How does K-means clustering algorithm work? (medium)
  • What are the different types of neural networks? (basic)
  • How do you handle imbalanced datasets in machine learning? (medium)
  • What is transfer learning, and how is it used in deep learning? (medium)
  • Explain the working of a decision tree algorithm. (basic)
  • What is the difference between classification and regression in machine learning? (basic)
  • How do you select the optimal number of clusters in a K-means algorithm? (medium)
  • What is the role of hyperparameters in machine learning models? (basic)
  • Describe the process of feature selection in machine learning. (medium)

Closing Remark

As you explore opportunities in the AI/ML job market in India, remember to continuously upskill, stay updated on industry trends, and prepare thoroughly for interviews. With the right combination of skills and knowledge, you can confidently pursue a successful career in the exciting field of AI and Machine Learning. Good luck!

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