525 Generative Ai Jobs - Page 20

Job Title: Python Developer Python middleware developer with hands-on experience integrating generative AI APIs (e.g., OpenAI, Vertex AI). • Skilled in building RESTful services using Django, Flask, and FastAPI. • Experienced in working with ORMs like Django ORM and SQLAlchemy. • Proficient in backend development, API integration, and scalable data-driven application design.

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.

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation. Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 5- 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Cotiviti Hyderabad is looking for Senior Software engineers for one of its product steam Python based application suite , APIs, and backend systems The purpose of this position is to work independently to build and integrate several robust, fault-tolerant backend services and frontend for information processing requirements to payment accuracy products. This includes collaboration in requirements definition, prototyping, design, coding, testing and deployment. Person in this position would exhibit the following behaviours: Develops and maintains positive working relationships with others Shares ideas and information Assists colleagues unprompted Takes pride in the achievement of team objectives Has credibility with peers and senior managers Self-motivated driven to achieve results Keeps pace with change acquires knowledge/skills as the business evolves Handles confidential information with sensitivity Constantly improves domain knowledge and applies to the project. JOB RESPONSIBILITIES Develop and maintain web applications, APIs, and backend systems using Python. Write reusable, testable, and efficient code. Collaborate with cross-functional teams to define, design, and ship new features. Participate in the full software development lifecycle, including coding, testing, and deployment. Troubleshoot and debug software issues. Optimize applications for maximum speed and scalability. Write unit tests and documentation for developed code. Ensure the performance, quality, and responsiveness of applications. Responsible for handling the Security Vulnerabilities within Python Framework. Requirements: Strong experience with Python and related frameworks (e.g., Django, Flask, FastAPI, OpenAI, RAG ). Familiarity with front-end technologies like HTML, CSS and JavaScript (if relevant). Familiarity with back-end technologies like Java, J2EE and Spring framework (if relevant). Experience with database management systems such as Oracle, MySQL, Vector DB or MongoDB. Knowledge of version control tools with awareness of the branching strategy like Git. Understanding of RESTful APIs and web services. Ability to write clean, efficient, and maintainable code. Strong problem-solving and debugging skills. Experience with cloud platforms like AWS, GCP, OCI or Azure (preferred but not required). Knowledge of containerization technologies such as Docker (a plus). Familiarity with testing frameworks like PyTest, UnitTest, or others. Excellent communication and collaboration skills. Preferred Qualifications: Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience working in Agile environments. Knowledge of CI/CD pipelines and tools like Jenkins, CircleCI, or GitLab CI. Good To Have: Knowledge of SAFe (Scaled Agile Framework) or any other agile framework Exposure to business process workflow analysis such as JBPM, experience preferred. MogoDB, Microservices, Docker based development/deployments, Exposure to CI/CD Exposure to rule engines such as drools. SKILLS & COMPETENCIES: Excellent verbal and written communication skills Strong organizational skills and adaptability to rapidly changing priorities and workloads Ability to work well independently and maintain focus in a highly dynamic work environment. Comfort in working with team members that are remote and located in the US, India or other geographies

Job Title: AI/ML Engineer Location: Gurugram, Haryana Employment Type: Full-Time Experience Required: 36 Years Objective of the Role: We are seeking a highly skilled AI/ML Enginee r who will be responsible for building, testing, and maintaining robust, scalable, and secure web applications. The ideal candidate will have strong expertise in Python and Django , with additional exposure to machine learning , generative AI frameworks , and modern deep learning architectures . This role involves optimizing performance, ensuring security, working with APIs, and collaborating closely with cross-functional teams to deliver high-quality backend solutions. Key Responsibilities: 36 years of hands-on experience in Python. Design, develop, and maintain backend services and RESTful APIs using Django or Django REST Framework. Work with third-party APIs and external services to ensure smooth data integration. Optimize application performance and implement robust security practices. Design scalable and efficient data models; work with relational and NoSQL databases. Implement and maintain CI/CD pipelines using tools like Docker, Git, Jenkins, or GitHub Actions. Collaborate with front-end developers, DevOps engineers, and product managers to deliver end-to-end solutions. Integrate and deploy ML models and AI features in production environments (a strong plus). Write clean, modular, and testable code following best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills and Qualifications: Strong proficiency in Python and Django framework. Experience with PostgreSQL , MongoDB , or MySQL . Familiarity with Docker , Gunicorn , Nginx , and CI/CD pipelines. Experience with machine learning and deep learning concepts. Exposure to Generative AI , Transformers , Agentic Frameworks , and Fine-Tuning techniques . Hands-on experience with PyTorch or TensorFlow (PyTorch preferred). Ability to translate ML/AI solutions into production-ready APIs or services. Strong problem-solving and debugging skills. Nice to Have: Knowledge of FastAPI or Flask. Experience deploying models via TorchServe or ONNX. Familiarity with MLOps practices and tools like MLflow, DVC, or SageMaker. If you're passionate about backend development and excited to work at the intersection of software engineering and AI innovation , we’d love to hear from you.

About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do are: -Work closely with the business stakeholders -Transform scattered pieces of information into valuable data -Share and present your valuable insights with peers What You Will Do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What You Will Need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: -Experience in working on personalization or other ML problems -Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Chennai Location_ 17th May 25 (Saturday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Chennai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Must have Experience: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Netwoven seeks a highly skilled and innovative Senior Architect - AI/ML to lead our AI/ML initiatives and strengthen our Centre of Excellence (CoE). As a key member of the leadership team, you will drive innovation in AI/ML solutions, provide thought leadership, and support our delivery teams in executing groundbreaking projects. You will play a crucial role in developing and documenting AI/ML use cases across various industries and collaborating with our Sales team to present these solutions to prospective and existing customers. Key Responsibilities: Lead Innovation in AI/ML Solutions: Spearhead efforts to design and develop innovative AI/ML-driven solutions for our clients across various industries. Strengthen CoE: Strengthen and mentor the existing AI/ML CoE team, fostering a culture of innovation and technical excellence. Solution Design & Development: Collaborate closely with delivery teams, offering ground-level design and technical support to ensure seamless solution deployment. Thought Leadership: Provide industry thought leadership in the AI/ML space, researching new technologies, trends, and best practices. Document Use Cases: Develop and document AI/ML solution ideas for industry-specific use cases, ensuring clarity and practicality. Sales Collaboration: Work with the Sales team to present AI/ML use cases and solutions to both prospective and existing customers, helping drive business development. Stakeholder Engagement: Serve as a trusted advisor to internal and external stakeholders, ensuring alignment of AI/ML initiatives with business goals. Required Skills and Experience: 15+ years of experience in software design and development, with a minimum of 4+ years dedicated to AI/ML technologies in a senior or leadership role in solution design and architecture. Proven experience in designing, developing, and deploying AI/ML models and solutions in real-world scenarios across various industries. Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, etc.), NLP, deep learning, and computer vision technologies. Expertise in Generative AI and Large Language Models (LLMs) with hands-on experience in developing and fine-tuning models for real-world applications. Experience in data analysis, data security, and ensuring privacy in AI/ML solutions, with a strong understanding of the regulatory landscape. Solid understanding of industry use cases and trends in AI/ML, with the ability to identify new opportunities for AI-driven innovation. Experience in leading innovation teams and mentoring technical talent in AI/ML domains. • Excellent communication skills with the ability to clearly articulate complex technical concepts and solutions to both technical and non-technical audiences. Proven track record of working with sales teams to develop customer-focused AI/ML solutions and present them effectively to customers. Proficient in cloud platforms (AWS, Azure, GCP) for AI/ML deployment and scaling. Strong problem-solving abilities, with a passion for using AI/ML to solve complex business challenges. Education: Bachelors degree in computer science, Data Science, Artificial Intelligence, or a related field. A master's or Ph.D. in AI/ML or related domains is highly preferred Preferred : Bachelors degree in computer science, Data Science, Artificial Intelligence, or a related field. Experience working in a consulting or customer-facing role A master's or Ph.D. in AI/ML or related domains is highly preferred Certifications in AI/ML technologies or cloud platforms (AWS/Azure/GCP). Experience with MLOps and implementing AI/ML pipelines in production environments. Experience with AI-driven innovation in verticals such as manufacturing, retail, healthcare, etc

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Job Description for GB5A(Dev) Primary Role Primarily responsible for working as Tech Lead i.e. leading the team and mentoring it technically. Provide hands-on technical leadership in the design, development, and deployment of generative AI models and systems. Serve as the technical point of contact for cross-functional teams, ensuring seamless collaboration between product, engineering, and data science teams. Responsibilities & KPIs Guiding the team technically and helping them solve the technical problems, throughout the project. Responsible for defining project goals, timelines, and deliverables in collaboration with stakeholders. Ensure scalability, robustness, and cost-efficiency of AI solutions. Conduct code reviews, provide constructive feedback, and ensure adherence to best practices in AI development. Build and maintain workflows to manage multiple POCs and project workloads efficiently. Collaborate with data scientists and domain experts to ensure model accuracy and relevance. Architect end-to-end Generative AI pipelines for model training, evaluation, and deployment using state-of-the-art tools and techniques Optimize AI models for speed, accuracy, and cost-efficiency. Ensure compliance with security and ethical standards. Address challenges like data drift and model degradation Proactively introduce innovative generative AI methodologies to address complex business challenges. Foster a culture of experimentation and continuous learning within the team. Ensure alignment between business goals and technical implementations. Desired Skills B.E./B.Tech degree in Computer Science, Information Science, or a related field from a leading institute preferred. Good leadership and people management skills. Excellent communication skills for translating technical concepts to non-technical stakeholders. Hands-on experience with Python Hands-on experience in machine learning, natural language processing, deep learning, and Generative AI technologies like LLM, RAG, Multi Modal architecture. Familiarity with frameworks like TensorFlow, PyTorch, Keras or Hugging Face. Familiarity with MLOps and CI/CD pipelines for AI workflows. Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI solutions. Familiarity with current AI trends and open source technologies. Strong problem-solving and analytical skills. Ability to work on multiple projects simultaneously and manage priorities effectively. Exposure to financial services domains is a plus. Basic understanding of UI Frameworks (e.g. Angular) is a plus.

Location: Remote Timings: Full Time (As per company timings) Notice Period: (Immediate Joiner - Only) Experience: 4 Years Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Role: AI/ML Engineer Has 4+ years of work experience , with at least 2+ years directly working on Generative AI and Agentic systems Knows how to use Large Language Models (LLMs) like GPT for real applications (not just research or theory) Has worked on multi-agent systems or autonomous AI agents using tools like CrewAI, AutoGen, or similar frameworks Can write smart prompts ( prompt engineering ), build apps with LLMs, and knows how to do RAG (Retrieval-Augmented Generation) Has done fine-tuning of models and built custom AI workflows Codes well in Python Has used ML frameworks like TensorFlow or PyTorch Familiar with tools like LangChain , and cloud/data platforms like AWS or Databricks Location: Bangalore/ Mumbai Shift Timing: 12:00 PM 9:00 PM Notice Period: 30 days or less Call Anumeha @ +91 6376649769/ Alfiya @ +91 8787064649

Job Summary We are looking for a highly skilled Technical Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with an overall experience of 9-12 years. This role involves architecting AI/ML/GenAI-driven applications, ensuring best practices in cloud deployment, security, and scalability while collaborating with cross-functional teams. Key Responsibilities Technical Leadership & Architecture Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications. Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions. Lead full lifecycle development of AI/ML/GenAI solutionsfrom PoC to productionensuring reliability and performance. Define and implement best practices for MLOps, DataOps, and DevOps on AWS. AI/ML & Generative AI Expertise Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan. Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications. Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines. Cloud & Infrastructure Management Architect event-driven, serverless, and microservices architectures for AI/ML applications. Ensure high availability, disaster recovery, and cost optimization in cloud deployments. Implement IAM, VPC, security best practices, and compliance. Team & Client Engagement Lead and mentor a team of ML engineers, Python Developer and Cloud Engineers. Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions. Conduct technical workshops, training sessions, and knowledge-sharing initiatives. Multi-Client & Business Strategy Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs. Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions. Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings. Key Skills & Technologies Cloud & DevOps AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK) Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito AI/ML & GenAI LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face Vector DBs: OpenSearch, Pinecone, FAISS RAG Pipelines, Prompt Engineering, Fine-tuning Software Architecture & Scalability Serverless & Microservices Architecture API Design & GraphQL Event-Driven Systems (SNS, SQS, EventBridge, Step Functions) Performance Optimization & Auto Scaling

Experience: 4+ years of overall experience, with at least 2+ years of hands-on work in Generative AI and Agentic systems Key Skills: Practical application of LLMs, Gen AI, Agentic frameworks (note: candidates may reference tools like CrewAI or AutoGen), prompt engineering, fine-tuning, RAG, multi-agent systems, and autonomous AI agents Technical Proficiency: Strong coding skills in Python; experience with ML frameworks like TensorFlow or PyTorch; familiarity with tools such as LangChain, and platforms like Databricks or AWS Role Type: Individual Contributor only please do not source candidates with a managerial background Location: Mumbai or Bangalore Shift Timing: 12:00 PM – 9:00 PM

Job Description Azure Cloud Data Analytics, AI and Computer Vision Specialist Job Title: Azure Cloud Data Analytics, AI and Computer Vision Specialist Industry: Software Development Employment Type: Full Time Location: Noida, India About Us: We are a health tech-focused organization creating innovative, scalable solutions to transform lives. We are seeking a skilled Azure Cloud Data Analytics, AI and Computer Vision Specialist to drive impactful projects and lead cutting-edge product development.At I-Line Pvt Ltd, were on a mission to redefine healthcare through cutting-edge technology. Our focus is on creating intelligent, affordable, and accessible healthcare solutions that harness the power of AI, AR/VR, IoT, and advanced tech to build the healthcare systems of the future. Collaborating with some of the largest hospitals in the country, we are deeply committed to identifying and solving real-world problems with innovative and unconventional approaches. If you're driven by innovation and eager to make a tangible impact in healthcare, this could be your next big move. Responsibilities: Azure Data Analytics Pipelines: Build cost-effective, scalable Azure data pipelines from scratch, optimizing ETL processes and handling large datasets reliably. Product Development: Involved with 0-to-1 product development in data analytics and AI space, from ideation to execution, ensuring innovative and impactful solutions. Computer Vision Development: Develop and deploy advanced computer vision models, including object detection, classification, segmentation, and real-time applications. LLM-Based Product Development: Design AI-driven solutions leveraging large language models (LLMs), with a focus on health tech innovations. Innovation in Health Tech: Build transformative, AI-enabled products while adhering to regulatory standards and data security protocols. Qualifications: Proven experience in Azure data pipelines using tools like Data Factory, Synapse Analytics, and Databricks. Expertise in Python, SQL, deep learning frameworks (TensorFlow, PyTorch), and deploying AI-based solutions. Experience in 0-to-1 product development is a strong advantage. Education: B.Tech from a premier institute is highly preferred. A Ph.D. in a relevant field is an outstanding advantage. Prior experience in health tech is highly desirable. Please share CV at madhulika.mishra@IQline.co.in

As a Development Engineer at Nokia, you will be a key player in our dynamic software team, driving innovative solutions for high-complexity features in our telecommunications products. Your expertise in Kubernetes and cloud-native architectures will be pivotal as we deploy containerized machine learning applications to enhance performance and reliability. Our work environment emphasizes creativity, teamwork, and a commitment to pushing the boundaries of technology in 4G, 5G, and IoT. You have: Bachelor's degree in engineering with 2-5 years of experience in Core Java on Telco grade products. Proficiency in Python programming. Experience with Kubernetes for deploying containerized ML applications. Experience in developing and deploying neural network or LSTM-based models. It would be nice if you also had: Exposure to Generative AI (GenAI) development and tools. Familiarity with Telecommunications concepts and technologies (e.g., 4G, 5G, IoT, network management). Develop innovative software solutions for complex challenges in next-gen telecommunications products. Enhance and refactor existing codebases while adhering to best practices for code quality and performance. Implement and manage Kubernetes for deploying scalable, containerized ML applications. Contribute to the architecture design by creating foundational components focused on performance and scalability.

Software Architect Generative AI & LLM Systems job location Hyderabad - Noida or Gurgaon Job Overview We are seeking a highly experienced and hands-on Software Architect to lead the design and deployment of Large Language Model (LLM)-powered applications across cloud and on-prem environments. This role demands deep expertise in full-stack software development, high-performance inference systems, and cutting-edge generative AI workflows. You will play a key role in scaling AI infrastructure, maximizing throughput, and educating cross-functional teams on best practices for building LLM-driven solutions. Key Responsibilities LLM Deployment & Infrastructure Design: Architect, deploy, and maintain LLMs on cloud-based GPU clusters (e.g., AWS, GCP, Azure) or on-premise hardware including NVIDIA HGX and smaller GPU-accelerated instances. Bonus points for experience deploying containerized LLM applications in GPU clusters. Performance Optimization on Software Layer: Optimize LLM serving stacks using frameworks such as vLLM, TensorRT-LLM, or DeepSpeed to improve inference throughput and reduce time-to-first-token latency. Prompt Engineering & Optimization: Design, test, and refine prompts for LLMs to extract the highest quality output. Mentor team members on prompt engineering strategies and few-shot examples. I nference Efficiency & Scalability: Architect systems to maximize low-latency performance and time-to-first-token even under high demand. GenAI Application Architectu re: Build and lead GenAI application development using Langchain, designing modular pipelines for agents, tools, and memory systems. Define architectural patterns and reusable workflows. Team Enablement & Education: Educate and upskill engineering teams on best practices in GenAI development, inference performance, and prompt design through documentation, workshops, and code reviews. RAG with SQL-based Systems: Design and implement retrieval-augmented generation (RAG) pipelines that leverage SQL-like structured databases for high-relevance grounding. Vector Database Integration (Nice-to-Have): Bonus: Architect and optimize RAG systems using vector embeddings and specialized vector databases such as FAISS, Weaviate, or Pinecone. Requirements Must-Have Skills: 7+ years of full-stack development and software architecture experience Proven track record deploying LLMs in production, both on-premise and cloud GPU environments Strong hands-on experience with v LLM, Langchain, and model serving performance tuning Deep knowledge of prompt engineering, token economy, and optimizing LLM behavior Experience designing and scaling inference pipelines for latency and throughput Strong experience with Python and either TypeScript or Golan g Familiarity with deploying applications to hyperscalers (AWS, GCP, Azure) Strong knowledge of SQL databases and data retrieval strategies for grounding LLM responses Nice-to-Have Skills: Experience with vector databases and embedding-based retrieval in RAG pipelines Experience with orchestrating containerized LLM deployments using Kubernetes or Ray Familiarity with streaming inference systems and token-by-token UX optimizations Background in AI/ML systems, MLOps, or research-to-prod workflows conact 95134 87487

Role & responsibilities Mandatory: 2-5 years of experience in roles involving cloud platforms, data science, Python development, and experience with GenAI models . Proven track record of designing and deploying scalable cloud-based data solutions and delivering impactful AI/ML and GenAI models. Preferred candidate profile 2-5 years of hands-on experience in the development and deployment of Machine Learning (ML) projects. Exposure to Computer Vision and Natural Language Processing (NLP), especially Large Language Models (LLMs), will be a significant advantage. Drive innovation: Explore, experiment with, and integrate cutting-edge ML techniques and frameworks into projects. Experience in Computer Vision, NLP, and LLMs in production environment will be a plus. Exposure to data volume extremes (high volume, constrained volume) will be a plus. Document workflows, methodologies, and findings for both technical and non-technical stakeholders.

About the role: Were building an agentic AI platform that turns one line of text and a video feed into end-to-end, real-time computer-vision solutionsthink semantic video search, object / action recognition, and task-oriented visual agents deployable with a single click. As a Gen AI ML Engineer, youll architect the core vision & multimodal-reasoning stack and pave the road from prototype to production. Roles and Responsibilities: Semantic video search Ship a pipeline that allows users to type show every forklift near aisle 5 in the last 30 minutes and get keyed-off clips in 1 s. Wire embeddings to a hybrid FAISS/HNSW index; surface results through a simple REST & React playground. Create agentic pipelines Chain vision language models and zero/few-shot vision models with LLM planners (Gemini, GPT-4o, AutoGen, etc.) so a single prompt becomes a multi-step perception workflow. Profile and accelerate inference (TensorRT, ONNX, quantization, batching) to meet latency / throughput targets on GPU and CPU fleets. Rapid prototyping loops Run weekly paper-to-prototype spikes: reproduce a fresh arXiv idea, benchmark, and decide go/no-go in 5 days. Hand successful python scripts & checkpoints to MLOps for productionizationno plumbing marathons. Data & Evaluation Spin up scalable pipelines for video ingestion, labeling (active learning, weak supervision), experiment tracking, and continuous evaluation. Collaborate & Lead Partner with product and ML Ops engineers; set research direction, mentor future hires, and establish best practices. Must-have skill set: 13 years deep-learning research experience (internships & grad work count). Fluency in Python + PyTorch; comfortable hacking large vision/LLM repos. Proof you ship ideasfirst-author paper, OSS repo, Kaggle medal, or faithful reproduction of a cutting-edge model. Hands-on with LLM prompting/fine-tuning and at least one agent framework. Able to turn fuzzy product asks into measurable experiments and explain results clearly. Bonus cred: Large-scale video retrieval or temporal grounding experience. Prior work building agentic-AI pipelines that combine perception models with LLM reasoning. Open-source contributions to GenAI/vision libs (OpenCLIP, Vid2Seq, ViperGPT, etc.). What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details) International exposure

Job Description: We are seeking an experienced Technical Architect to lead the architecture and implementation of a next-generation Generative AI system. This role requires expertise in Microsoft Azure technologies and enterprise-grade software design. The ideal candidate will be responsible for setting up scalable architecture, guiding development teams, and ensuring security and compliance with best practices and organizational standards. Tech Stack: Azure, .NET Core, C#, Blazor/Angular/React, Azure DevOps, Cognitive Services, SQL, Cosmos DB, Power BI & more Location: Primarily Work from Home with a short 5-day visit to our Bangalore office once every 6 months Employment Type: Full Time Key Responsibilities: Design and implement enterprise software systems using modern Microsoft and Azure technologies. Define system architecture for a Generative AI project, ensuring scalability, performance, and security. Lead and participate in architecture reviews and code reviews, enforcing secure coding and software design best practices. Mentor developers, assist in resolving technical challenges, and propose long-term architectural solutions. Evaluate third-party tools and frameworks, and make recommendations aligned with project needs. Manage CI/CD pipelines using Azure DevOps or GitHub Actions for seamless deployment and integration. Automate provisioning and deployments using ARM templates, Azure CLI, PowerShell, Helm, and Bicep. Implement solutions using Azure PaaS services like Azure Functions, App Services, Logic Apps, and Cognitive Services. Monitor application performance and reliability using Azure Monitor, Application Insights, and profiling tools. Work closely with stakeholders to gather requirements, provide updates, and translate business needs into technical solutions. Efficiently handle multiple projects, ensuring timely delivery and problem resolution. Technical Skills Required: Languages & Frameworks: C#, .NET Core/Framework, ASP.NET, MVC, WCF, Web API, Entity Framework, LINQ/PLINQ Frontend: Blazor, Angular, React, Vue.js, jQuery, Bootstrap, Knockout Database: SQL Server (with tuning), Azure SQL, Cosmos DB, NoSQL, Blob Storage BI & ETL Tools: SSIS, SSRS, Power BI DevOps & Automation: Azure DevOps (Repos, Pipelines, Artifacts, Boards), GitHub Actions, PowerShell, ARM, Bicep, Helm Cloud Expertise: IaaS, PaaS, SaaS, Azure Functions, App Services, Logic Apps, Cognitive Services Monitoring & Security: Application Insights, Azure Monitor, Secure Coding Practices Bonus: Exposure to Generative AI technologies and implementation Candidate Profile: 10+ years of experience in software development and architecture Strong leadership, team collaboration, and communication skills Ability to drive end-to-end architecture strategy and execution Proven problem-solving skills and a proactive mindset Comfortable working in fast-paced, agile environments

JOB DESCRIPTION Title: Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

Immediate opening for "AI Architect (Generative AI)" Location : Remote Experience :- 15 to 23 yrs Quantaleap INC. is seeking a highly experienced AI Architect with deep expertise in Generative AI to drive innovative solution design and architecture for enterprise use cases. This role requires a strategic thinker with a strong foundation in AI/ML technologies and a proven ability to lead high-impact AI initiatives across diverse domains. Key Responsibilities: Architect end-to-end AI solutions leveraging Generative AI technologies (LLMs, diffusion models, transformers, etc.). Evaluate and recommend cutting-edge tools, frameworks, and models suitable for enterprise-grade deployments. Collaborate with cross-functional teams for RFP responses, technical proposals, and client presentations. Lead the development of scalable AI solutions from POC to production across multiple industry verticals. Guide technical teams on best practices in AI model development, fine-tuning, and deployment. Must-Have Skills: 15+ years of overall experience with a strong focus on AI/ML architecture In-depth knowledge of Generative AI technologies, including LLMs (GPT, BERT), GANs, and foundation models Experience in deploying AI models in cloud-native and on-prem environments Strong understanding of MLOps, data pipelines, and model lifecycle management Proven track record in presales, RFP responses, and enterprise solutioning Excellent stakeholder management and client-facing communication skills Interested can share their updated resume to anitha.mudaliyar@quantaleap.com

Open & Direct Walk-in Drive event | Hexaware technologies, Data Scientist AI/ML with GEN AI in Chennai, Tamilnadu on 10th May [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI. We are hosting an Open Walk-in Drive in Chennai, Tamilnadu on 10th May [Saturday] 2025 , and we believe your skills in Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: Chennai, Tamilnadu on 10th May [Saturday] 2025 Experience: 9 years to 12 years Time: 9.30 AM to 4PM Point of Contact: Aishwarya G / AISHWARYAG5@hexaware.com Venue: HEXAWARE TECHNOLOGIES H-5, Sipcot It Park, Post, Navalur, Siruseri, Tamil Nadu 603103 Work Location: Open (Bangalore/ Pune/ Mumbai/ Dehradun/ Chennai/ Coimbatore) Key Skills and Experience: GenAI & Data Science; Digital Architecture & Enablement; Emerging Tech & Innovation Evangelist Principles and workings of generative models. Knowledge of saving and loading AI models, such as using formats like ONNX or native formats of deep learning frameworks. Cloud platforms like AWS, GCP, or Azure, especially services related to AI and ML. Containerization tools like Docker to package the application and its dependencies. GPUs, TPUs, or other accelerators, and how to leverage them for AI inference. Techniques like model quantization, pruning, and distillation to improve inference speed and reduce memory footprint. Distribute incoming application traffic across multiple instances to ensure optimal resource utilization. Set up monitoring tools to track the health, uptime, and performance of the deployed application. Secure deployment of applications, including encryption, authentication, and authorization mechanisms. Data protection principles, especially when handling user data or other sensitive information. Proficiency with tools like Git. CI/CD pipelines and tools like Jenkins, Travis CI, or GitHub Actions. Networking principles to ensure the application is accessible and communicates effectively with other services or databases. Integrating databases to store or retrieve data, especially if the AI application requires real-time data access. What to Bring: Updated resume Photo ID, Passport size photo Mention "Aishwarya G" at the top of your resume. How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AISHWARYAG5@hexaware.com We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Open & Direct Walk-in Drive event | Hexaware technologies, Data Scientist AI/ML with GEN AI in Chennai, Tamilnadu on 10th May [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI. We are hosting an Open Walk-in Drive in Chennai, Tamilnadu on 10th May [Saturday] 2025 , and we believe your skills in Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: Chennai, Tamilnadu on 10th May [Saturday] 2025 Experience: 9 years to 12 years Time: 9.30 AM to 4PM Point of Contact: Aishwarya G / AISHWARYAG5@hexaware.com Venue: HEXAWARE TECHNOLOGIES H-5, Sipcot It Park, Post, Navalur, Siruseri, Tamil Nadu 603103 Work Location: Open (Bangalore/ Pune/ Mumbai/ Dehradun/ Chennai/ Coimbatore) Key Skills and Experience: Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques. Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps. Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications. Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development. What to Bring: Updated resume Photo ID, Passport size photo Mention "Aishwarya G" at the top of your resume. How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AISHWARYAG5@hexaware.com We look forward to meeting you and exploring the potential of having you as a valuable member of our team.