126 Open Ai Jobs - Page 3

Perform gap analysis & assess the impact of AI implementations on business processes Develop prototypes & proof-of-concept AI solutions using tools like Python, TensorFlow, or R Support UAT Required Candidate profile Experience in AI/ML or data analytics projects, AI/ML concepts, data pipelines, statistical modeling Proficiency in Python, R, or SQL preferred, AI tools - Azure AI, AWS SageMaker, Google AI, OpenAI

Role & responsibilities Sr. AI/ML Engineer Years of experience: 5+ years (with a minimum of 4 years of relevant experience) Work mode: WFO- Chennai (mandate) Type: FTE Notice Period: Immediate Joiners Key skills: Python, Tensorflow, Generative AI, Machine Learning, AWS, Agentic AI, Open AI, Claude, Fast API Job Description: Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g, Git), containerization (e.g, Docker), and continuous integration/deployment tools (e.g, Jenkins) ,third-party integration is a plus, cloud computing platforms (e.g, AWS, GCP, Azure), Kubernetes, and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc. Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps,& Hands-on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines Preferred candidate profile

You are an experienced professional with over 10 years of total experience, seeking a new opportunity to showcase your expertise in Python, LLM integration, and GenAI development workflows. Your strong knowledge in prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains sets you apart. You have hands-on experience with Agentic AI and Open AI, as well as agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents. Your proven track record includes leading LLM/GenAI projects from Proof-of-Concept to Production, showcasing your deep understanding of modern data workflows including ingestion, transformation, cataloguing, validation, and analytics. Collaboration is key for you, as you have the ability to work across engineering, product, and governance teams. Experience with enterprise data products, MLOps, or DataOps platforms, as well as familiarity with governance workflows and metadata-driven automation, are part of your skill set. Your responsibilities will include understanding clients" business use cases and technical requirements to create elegant technical designs, mapping decisions with requirements, identifying the best solutions, and defining guidelines and benchmarks for NFR considerations during project implementation. You will be responsible for writing and reviewing design documents, reviewing architecture and design, ensuring best practices are followed, and developing overall solutions for functional and non-functional requirements. To excel in this role, you should have a Bachelor's or Master's degree in computer science, Information Technology, or a related field. Your excellent communication and collaboration skills will be essential as you resolve issues raised during code/review and carry out POCs to validate suggested designs and technologies. Join us at Nagarro and be part of a dynamic and non-hierarchical work culture where your expertise will be valued and your contributions will make a difference.,

Job Title: Senior Programmer- AI & Data Engineering Location: Work from Office Experience Required: 3+ Years Job Type: Full-Time Department: Technology / Engineering Job Summary: We are seeking a highly skilled and motivated Senior Programmer with a strong background in AI development, Python programming , and data engineering . The ideal candidate will have hands-on experience with OpenAI models , Machine Learning , Prompt Engineering , and frameworks such as NLTK , Pandas , and Numpy . You will work on developing intelligent systems, integrating APIs, and deploying scalable solutions using modern data and cloud technologies. Key Responsibilities: Design, develop, and optimize intelligent applications using OpenAI APIs and machine learning models. Create and refine prompts for Prompt Engineering to extract desired outputs from LLMs (Large Language Models). Build and maintain scalable, reusable, and secure REST APIs for AI and data applications. Work with large datasets using Pandas , NumPy , SQL , and integrate text analytics using NLTK . Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Use the Function Framework to encapsulate business logic and automate workflows. Apply basic knowledge of cloud platforms (AWS, Azure, or GCP) for deployment and scaling. Assist in data integration, processing, and transformation for Big Data systems. Write clean, maintainable, and efficient Python code. Conduct code reviews, mentor junior developers, and lead small projects as needed. Required Skills & Qualifications: Minimum 3 years of experience in Python development with a strong focus on AI and ML. Proven expertise in OpenAI tools and APIs . Hands-on experience with Machine Learning models and Prompt Engineering techniques. Solid programming skills using Python , along with libraries like Pandas , Numpy , and NLTK . Experience developing and integrating REST APIs . Working knowledge of SQL and relational database systems. Familiarity with Function Frameworks and modular design patterns. Basic understanding of cloud platforms (AWS/GCP/Azure) and Big Data concepts. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications: Exposure to Docker , Kubernetes , or similar container orchestration tools. Understanding of MLOps , data pipelines , or cloud-based AI deployments . Experience with version control systems like Git and CI/CD pipelines.

.Net Core + Angular + Azure Cognitive Services (Open AI)

Role & responsibilities Design and deploy scalable AI solutions using Azure AI services Write and integrate Python code for AI models, data ingestion and automation. Work with senior developers and cross-functional teams to implement AI features into current systems and applications. Stay updated with the latest advancements in AI and Azure technologies. Preferred candidate profile Bachelors degree in computer science, Engineering, or a related field. Proficiency in programming languages such as Python or C# 5+ years of experience with AI solutions using Azure AI services Experience with LangChain or Semantic Kernel frameworks Experience with Azure AI Services like AI Search, OpenAI and Document Intelligence Experience with Azure Compute Services such as Azure Functions and Apps Services Experience with API development and integration Strong problem-solving skills and attention to detail

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 10+ years. Expertise in Python, LLM integration, and GenAI development workflows Strong knowledge of prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains Strong working experience in Agentic AI and Open AI. Hands-on experience with agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents Proven experience in leading LLM/GenAI projects from Proof-of-Concept to Production Deep understanding of modern data workflows ingestion, transformation, cataloguing, validation, and analytics Ability to work collaboratively across engineering, product, and governance teams Experience with enterprise data products, MLOps, or DataOps platforms Familiarity with governance workflows and metadata-driven automation Exposure to cognitive architectures or agent simulation environments Excellent communication and collaboration skills. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

About The Role Management Level: 09 - Consultant Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/ Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

Role: AI Agent and GenAI Developer Responsibilities: Build and deploy Gen AI applications using LLMs, prompt engineering, and RAG frameworks. Hands-on with prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases. Utilize AI tools to analyze complex legacy systems, identify business logic, dependencies, and potential risks associated with migration. Integrate APIs like OpenAI, Claude, Azure OpenAI, etc., into products or tools. Develop reusable components for prompt handling, embeddings, vector search, etc. Stay current with AI trends and tools Preferred candidate profile

Dear Candidate, We at TATA Technologies looking for an experienced candidate for Gen AI/ML lead role for Pune location. Please check the below JD, if matches to your profile please share your resume on nikhil.agale@tatatechnologies.com Job Title: Gen AI/ML Lead Total Experince: 6-8 Years Location: Pune Notice Period: Immediate-30 Days Role & responsibilities: Define and lead the Gen AI/ML strategy, aligning with organizational goals. Architect and oversee the development of intelligent chatbots for HR, Finance, and People Supply Chain functions. Lead initiatives to integrate in-context AI capabilities into existing applications to enhance user experience and productivity. Drive the development and deployment of Agentic AI solutions for autonomous and decision-support systems. Mentor and guide the AI/ML team, fostering innovation and collaboration. Collaborate with stakeholders to understand business needs and translate them into AI/ML solutions. Stay updated on the latest advancements in AI/ML to ensure cutting-edge implementations. Qualifications: Bachelors degree in computer science, Artificial Intelligence, Machine Learning, or related field. 6+ years of overall experience in SW development, with at least 3 years in a AI/ML development leadership role. Proven expertise in chatbot development, NLP, and contextual AI technologies. Strong understanding of ML frameworks (TensorFlow, PyTorch) and cloud AI services (AWS, Azure, Google Cloud). Exceptional problem-solving and strategic thinking abilities. Excellent communication and stakeholder management skills. Generative AI, Azure OpenAI Service, Azure Cognitive Search / Azure Search Service Preferred Technical Skills: Vector Database, Embeddings (OpenAI / Azure-based), ChatGPT / GPT-4 / GPT Models, Retrieval-Augmented Generation (RAG), LangChain, RESTful API development, OpenAI API, Prompt Engineering, Azure Machine Learning (Azure ML), Azure DevOps (ADO)Kubernetes / Docker (for AI microservices, Git & CI/CD Pipelines, Experience with cloud-native architecture (preferably in Azure), Experience leading AI engineering teams

Job Description We are seeking a Senior Software Engineer to lead and guide our engineering team in building and enhancing our internal AI Gateway platform. This platform empowers internal organizations to create and deploy AI use cases, integrating with Azure OpenAI, AWS Bedrock, Databricks, and other cloud platforms. You will drive architecture, design, and implementation of scalable data/model management pipelines, agentic AI, RAGs, tracing, and MCP server components. Essential to have hands on Development experience in Python JavaScript, TypeScript, Node JS Essential to have hands on experience in building scalable GenAI applications leveraging LLMs e.g. GPT, Claude, Anthropic using various techniques e.g. RAG, Agentic AI etc. Preferred experience in Developing GenAI Solutions using frameworks e.g. Langchain, LlamaIndex. Preferred experience in building AI pipelines for interaction via Chatbots, User Interface, Autonomous Agents. Must have excellent communication skills to understand complex AI concepts & work with architects to build the solution as well as the ability to explain it to Nontechnical Stakeholders. Preferred experience of deploying solutions on AWS with best, practices. Good to have built capabilities in GenAI backed by evaluation (any existing framework for evaluation or custom built for the specific use case).Contributions to AI research, opensource models or AI hackathons are a plus. Responsib0ilities: Lead the design and development of the AI Gateway platform and its integrations (Azure OpenAI, AWS Bedrock, Databricks, etc.). Architect and implement scalable, secure, and maintainable data/model management pipelines. Guide the team in building agentic AI, RAG (Retrieval-Augmented Generation), tracing, and MCP server solutions. Mentor and upskill team members, conduct code reviews, and enforce best practices. Collaborate with product, DevOps, and data science teams to deliver robust solutions. Drive automation and CI/CD for model and data pipeline deployments. Ensure platform reliability, observability, and security. Requirements: 7+ years of software engineering experience, with at least 2 years in a technical leadership role. Strong Python (FastAPI, asyncio), cloud (Azure, AWS), and data engineering skills. Experience with LLMs, agentic AI, RAGs, and orchestration frameworks. Hands-on with cloud ML services (Azure OpenAI, AWS Bedrock, Databricks). Familiarity with CI/CD, Docker, Kubernetes, and infrastructure-as-code.

We are seeking a Python Developer with a min of 5 years of experience, proficient in Django or Flask, ORM libraries, and SQL/NoSQL databases. Expertise in Git, and familiarity with cloud platforms and machine learning frameworks (e.g., Pandas)

Sr. AI/ML Engineer Years of experience: Lead Material - 5-10 years (with minimum 5 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Job description: Lead the development and implementation of GenAI solutions leveraging LLMs (e.g., GPT, Claude, LLaMA) and multimodal models. Identify and prioritize use cases across functions such as drug discovery, clinical trial design, medical writing, patient engagement, and knowledge management. Guide the evaluation and fine-tuning of foundation models using Takedas proprietary and third-party data, ensuring compliance with GxP, HIPAA, and AI governance. Architect scalable GenAI pipelines using cloud-native tools and frameworks (e.g., Azure OpenAI, AWS Bedrock, LangChain, Hugging Face, NVIDIA NeMo). Collaborate with data scientists, engineers, compliance, legal, and business leaders to define AI standards, ethics, and responsible AI principles. Lead a cross-functional GenAI team, driving innovation while ensuring security, transparency, and performance of deployed models. Stay current on GenAI trends, open-source ecosystems, and regulatory impacts (e.g., EU AI Act, FDA guidelines). Location: World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai- 600096 Walkin Date: 26th July 2025 Time: 11:00 am to 3:00pm Contact Recruiter: Anishma Alexen

Key Responsibilities: Design and develop intelligent automation workflows integrated with LLM capabilities (e.g., summarization, classification, Q&A) Integrate LLM APIs such as OpenAI, Azure OpenAI , and Google Gemini into UiPath using REST APIs or native connectors Automate document processing leveraging UiPath tools like Document Understanding and AI Center Participate in code reviews, documentation, and development of reusable components for scalable AI/automation solutions Stay current on LLM innovations, tools, and frameworks, and actively contribute to POCs and hands-on experimentation Required Skills & Qualifications: Bachelor's degree in Computer Science , Engineering , Information Technology , or a related field 35 years of experience in automation development , preferably with UiPath Foundational knowledge of LLMs and prompt engineering , with hands-on application in automation Experience integrating with platforms like OpenAI , Azure AI , or Google Cloud AI via APIs Proficiency in Python and ability to embed Python scripts into RPA workflows Exposure to LangChain or a willingness to learn LLM orchestration frameworks Familiarity with unstructured data processing and document understanding concepts Strong communication, collaboration, and continuous learning mindset

Data Scientist Digital Insights Commercial Excellence – GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisions—and we’re looking for someone who shares that belief. As a Data Scientist – Digital Insights, you’ll join a dynamic team that’s shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies. This opportunity empowers you to work with the latest trends in technology—from web traffic intelligence and data visualization to foundational applications of large language models (LLMs). You’ll play a key role in transforming digital signals into actionable insights that influence business outcomes. We’re proud to be recognized by Great Place to Work® India as one of the country’s top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will: Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI, and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 1–3 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelor’s or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment.

AI/ML Engineer Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Location: Chennai Walkin Date: 26th July 2025 Time: 11:00 am to 3:00pm

Collaborate with cross-functional teams to analyse, design, and ship new features for our mobile applications. Develop high-quality software design and architecture. Work closely with product management and UX/UI designers to implement user- friendly interfaces. Diagnose and fix bugs and performance bottlenecks for performance that feels native. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Stay updated with the latest trends and best practices in mobile application development.Skills Requirements: - Required: 4 - 8 years of relevant experience in iOS native development using Objective C / Swift and cross-platform app development using Flutter. Strong proficiency in IOS & Flutterfor building high-quality, high-performance mobile applications. Solid understanding of the full mobile development life cycle. Excellent problem-solving skills and ability to think critically. Must have experience with Dart, Swift. Familiarity with RESTful APIs to connect mobile applications to back-end services. Strong understanding of design patterns like BLoC, MVP, MVVM, and MVC. Experience working with SQLite, BLE, Wi-Fi, Firebase and Push Notification. Good knowledge on scrum and agile practices. Knowledge of UI/UX best practices and design standards Excellent debugging skills and knowledge of debug and test tools like layout Inspector, App Inspection and memory profiling etc. Strong communication skills and ability to work effectively in a team. Good Academic Records with > 60% marks and no gaps. Preferred: Demonstrated track record of introducing new ideas, processes, or technologies that have positively impacted a project, team, or organization. Understanding of security best practices in CI/CD pipelines, including vulnerability scanning, code analysis, and secure configurations to maintain a high level of application security. Understanding of cloud services example AWS. Knowledge of AI tools (Open AI, GitHub Co-pilot).

Job Title : Dot Net Architect Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 11+ Years Required skills - Experience in .Net Architect Experience in .Net Core, Azure Experience in Angular or React Experience in Gen AI Mandatory Excellent communication skill. Interested candidates can send their resume and below details at priyanka.v@sigmacareers.in 1. Notice Period (LWD)- 2. Current CTC- 3. Expected CTC Per Month- 4. Current company- 5. Total year of experience- 6. Relevant experience- 7. Do have any offer how much offer you are having offer- 8. Current location- 9. Preferred location- Pune/ Bangalore

Job Title: Python AI/ML Engineer Location: Gurugram Experience: 5 to 8 years Job Summary: We are looking for a passionate and skilled Python AI/ML Engineer who brings strong expertise in building AI/ML solutions, productionizing models, and contributing to end-to-end ML pipelines. The ideal candidate should possess deep knowledge of traditional and deep learning concepts, hands-on programming capabilities, experience in enterprise-grade software engineering, and a good understanding of MLOps practices. Key Responsibilities: Design, develop, and deploy scalable machine learning models for classification, regression, NLP, and generative tasks. Build and optimize data transformation workflows using Python and Pandas. Lead AI/ML project pipelines from data ingestion to model deployment and monitoring. Implement model observability, monitoring for drift, and continuous model evaluation. Develop REST APIs and integrate ML models with production systems using frameworks like FastAPI. Participate in code reviews, write unit/integration tests, and ensure high code quality. Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers. Stay current with the latest developments in AI, GenAI, ML frameworks, and tools. Use DevOps/MLOps tools to automate and manage model lifecycle processes. Required Skills: Programming & Python Ecosystem: Advanced proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Strong understanding of asynchronous programming, FastAPI, and concurrency (Starlette). Deep understanding of multithreading, multiprocessing, and the Python GIL. Ability to write clean, efficient, and testable code. Machine Learning & Deep Learning: Solid grasp of traditional ML concepts: classification, regression, overfitting/underfitting, regularization (L1/L2), multicollinearity. Experience with deep learning: RNNs, attention mechanisms, dropout, early stopping, loss functions (BCE, categorical cross entropy), diffusion models vs GANs. Familiarity with transfer learning and pre-trained model fine-tuning. MLOps: Understanding of ML pipeline design including model training, deployment, and monitoring. Experience in detecting and mitigating data drift and concept drift. Exposure to model observability, monitoring unstructured data drift, and automated drift alerts. Software Engineering & DevOps: Strong skills in REST API development, integration testing, and CI/CD practices. Experience with containerization tools like Docker. Familiarity with cloud-based ML deployment (AWS/Azure) and logging frameworks. Hands-On Problem Solving & Data Engineering: Ability to perform data transformation and aggregation using Python/Pandas. Experience handling dataframes, joins, ranking, filtering, mapping, and custom logic for preprocessing tasks. Nice-to-Have: Experience in GenAI and working with LLMs. Exposure to tools like MLflow, Kubeflow, Airflow, or similar MLOps platforms. Understanding of NLP, embeddings, and transformer-based models. Prior contributions to open-source ML tools or GitHub repositories.

Generative AI Engineer Overview We are seeking a visionary GenAI Engineer to lead the design and development of next-generation AI applications using advanced AI services. The ideal candidate will bring deep expertise in GenAI technologies, including Retrieval-Augmented Generation (RAG), intelligent agents, and model fine-tuning, coupled with hands-on experience using tools like LangChain, Model Context Protocol, and Azures full AI stack. Task and Responsibilities: Implement end-to-end Generative AI solutions on the Azure Cloud Platform, leveraging services such as: Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Design and deploy RAG pipelines, incorporating structured and unstructured data to enhance LLM-based applications. Develop and orchestrate AI Agents and Autonomous Agents for real-time decision-making, task and automation. Fine-tune and optimize Small Language Models ( SLMs ) for domain-specific applications with a focus on performance, cost, and inference latency. Integrate LLMs/SLMs into applications using frameworks such as LangChain , Model Context Protocol ( MCP ), etc. Collaborate with data scientists, ML engineers, and product teams to align AI capabilities with business goals. Lead technical discussions and create architecture blueprints, best practices, and governance models for GenAI adoption across the enterprise. Monitor and optimize deployed solutions for scalability, latency, security, and compliance. Qualifications: Bachelor's or master's degree in computer science, Data Science, AI/ML, information technology, or a related field. Overall 8+ years’ combined experience in IT, 5+ years of experience in AI/ML solution engineering with at least 2+ years focused on Generative AI. Strong experience with LLMs and SLMs, including integration of open source models, prompt engineering, evaluation, and fine-tuning techniques. Proven track record using LangChain, Semantic Kernel, RAG, AI Agents, and MCP (Model Context Protocol) in production environments. Solid understanding and Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval. Hands-on experience with tools like MLFlow, Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc. Familiarity with MLOps, CI/CD pipelines, and responsible AI practices. Experience deploying AI models on Azure Kubernetes Services (AKS) or Azure Container Apps. Understanding of security and compliance in AI deployments (e.g., data privacy, bias detection). Proficiency in programming languages like Python (essential). Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI. Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus.

ServiceNow Now Assist, Open AI Integration with ServiceNow ITSM,ITSM & CSM,workflows, UI policies, business rules, and UI actions,Write and modify scripts in JavaScript (both client and server-side),Open AI Integration

Job Description:- We are seeking an experienced AI Engineer to join our team and play a key role in developing and integrating cutting-edge AI tools into our SaaS products. The ideal candidate has hands-on expertise with platforms like OpenAI, LangChain, or Hugging Face, and a strong background in delivering scalable, production-ready AI solutions. In this role, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers. Responsibilities:- Design and develop AI-driven features leveraging large language models (LLMs) and embedding techniques. Integrate solutions using tools such as OpenAI, vector databases (e.g.,Pinecone, FAISS), and generative AI frameworks like LangChain or HuggingFace. Build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows. Collaborate closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product. Continuously optimize AI models and pipelines for performance, scalability, and accuracy. Requirements: 2-4 years of experience in AI/ML-focused software development Proficiency in Python and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI Strong problem-solving abilities and solid understanding of system architecture and design Excellent communication and collaboration skills

Key Responsibilities: Design and implement AI solutions using large language models (LLMs) for tasks such as summarization, question answering, and document understanding. Build and optimize retrieval-augmented generation (RAG) pipelines combining OCR and LLMs for unstructured document processing. Integrate LLMs and OCR tools (e.g., Azure Document Intelligence, Tesseract) into scalable applications. Preprocess scanned and digital documents using OCR to extract structured and semi-structured text for LLM input. Perform prompt engineering and fine-tuning of LLMs to enhance accuracy and task-specific performance. Evaluate and monitor LLM+OCR system outputs for quality, bias, and hallucination risks. Collaborate with cross-functional teams to deliver AI solutions tailored to domain-specific needs. Stay updated on the latest developments in foundation models, Agentic AI and OCR technologies. Required Skills: Hands-on experience with LLM frameworks such as LangChain, Semantic Kernel. Strong understanding of vector search, embedding models, and semantic retrieval (e.g., FAISS, Pinecone, Azure Cognitive Search). Proficiency in Python, with experience integrating APIs, Function Calling, Regular Expression, and handling LLM outputs. Deep expertise in prompt engineering, including few-shot prompting, prompt tuning, prompt chaining, and optimization techniques for task-specific accuracy and cost control. Solid knowledge of RAG architectures and agent design patterns (e.g., tool use, memory, planning). Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence) for document understanding and information extraction from scanned or image-based content. Familiarity with LLM platforms and tools like Azure OpenAI, LLMOps. Experience deploying LLM-based applications in cloud environments, with attention to performance, reliability, and scalability. Practical understanding of SAFe Agile methodologies, with experience delivering AI/ML solutions in cross-functional Agile teams. Proven ability to work independently without supervision, demonstrating initiative, ownership, and accountability across all phases of solution development.

We are seeking an innovative and forward-thinking AI Strategist to join our team. In this role, you will lead the development and implementation of AI-driven strategies that align with our organization's long-term goals. You will work closely with cross-functional teams to identify opportunities where artificial intelligence can drive business growth, operational efficiency, and competitive advantage. Role & responsibilities Required Skills: Proven experience with Large Language Models (e.g., GPT, BERT, LLaMA) and customizing them for business-specific use cases. Proficient in AI code tools, including GitHub Copilot, Cursor, and more. Expertise in prompt engineering and prompt optimization for effective LLM outputs. Strong understanding of security principles, specifically concerning LLM implementation and internal data protection Preferred candidate profile LLM Model Customization & Implementation Customize and fine-tune Large Language Models (LLMs) to address specific business and functional requirements. Design and implement LLM integrations to optimize business workflows and support various functional areas, ensuring high-quality and relevant outputs. Conduct regular assessments to maintain alignment with organizational goals and security standards, preventing any unintended exposure to external networks.

We are looking for immediate joiners only We are seeking an innovative and forward-thinking AI Strategist with .Net/Java Full stack to join our team. In this role, you will lead the development and implementation of AI-driven strategies that align with our organization's long-term goals. You will work closely with cross-functional teams to identify opportunities where artificial intelligence can drive business growth, operational efficiency, and competitive advantage. Role & responsibilities Required Skills: We are looking for a Full Stack Architect / Associate Architect with strong architectural expertise and deep hands-on experience across Angular, .NET Core, SQL Server, and especially IIS . The ideal candidate must be proficient in application architecture design , performance tuning , and end-to-end ownership of enterprise-grade solutions with significant exposure to hosting and configuration environments. Key Responsibilities Architect, design, and deliver high-performance enterprise applications using Angular, .NET Core, and SQL Server. Define and implement best practices around coding, architecture, security, and performance. Take complete ownership of IIS setup, deployment pipelines , and application hosting architecture , ensuring secure and scalable configuration. Troubleshoot and resolve issues related to Windows Authentication, Application Pools, and service account connectivity. Proven experience with Large Language Models (e.g., GPT, BERT, LLaMA) and customizing them for business-specific use cases. Proficient in AI code tools, including GitHub Copilot, Cursor, and more. Expertise in prompt engineering and prompt optimization for effective LLM outputs. Strong understanding of security principles, specifically concerning LLM implementation and internal data protection Preferred candidate profile LLM Model Customization & Implementation Customize and fine-tune Large Language Models (LLMs) to address specific business and functional requirements. Design and implement LLM integrations to optimize business workflows and support various functional areas, ensuring high-quality and relevant outputs. Conduct regular assessments to maintain alignment with organizational goals and security standards, preventing any unintended exposure to external networks.