649 Mistral Jobs - Page 7

Dear Aspirant , Greetings from TCS ! TCS presents excellent opportunity for Gen AI Developer Exp: 4 - 10 Years Job Location: Chennai / Bangalore / Hyderabad / Mumbai / Pune / Kolkata / Delhi / Noida / Gurgaon Gen AI Developer [ Gen AI / LLM /Agentic AI ] Strong programming skills in Python with experience in building ML/NLP applications. Hands-on experience with Deep Learning , Machine Learning , and Natural Language Processing . Proficiency in working with LLMs (e.g., GPT,Gemini, LLaMA, Mistral) and RAG architecture. Experience with Agentic AI frameworks and autonomous agent design. Familiarity with FastAPI for building RESTful APIs. Experience with CI/CD pipelines and deploying solutions on Azure Cloud, GCP and AWS Solid understanding of data structures, algorithms, and software engineering principles. Bachelor’s or master’s degree in computer science, AI, Data Science, or related field. Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from scratch Expert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building complex LLM applications, including chains, agents, memory, and tool integration. Regards, Sai Lokesh S

Title: AI Agent Factory Developers Location: Pan India Experience: 3-8 years Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers Key Responsibilities LLM Integration Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration Documentation Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.""" This job is provided by Shine.com

Job Title: Generative AI Engineer Experience: 6–9 years About the Role We are seeking a Generative AI Engineer with 8–12 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills. You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A ) and deliver fully functional prototypes that push the boundaries of enterprise AI — not just in Jupyter notebooks, but as real applications ready for production exploration. Key Responsibilities LLM Applications & Agentic Frameworks Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP. Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks. Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports. Rapidly explore and showcase the art of the possible through functional, demonstrable POCs Advanced AI Experimentation Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use. Create and leverage synthetic datasets to simulate edge cases and scale training. Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability) Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol) Business Alignment & Cross-Team Collaboration Translate ambiguous requirements into structured, AI-enabled solutions. Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders Good-To-Have Microsoft Copilot Studio DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Qualifications 6–9 years of experience in software development or AI/ML engineering At least 3 years working with LLMs, GenAI applications, or agentic frameworks. Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration Proven track record of developing functional AI prototypes beyond notebooks. Strong presentation and storytelling skills to clearly convey GenAI concepts and value. Ability to independently drive AI experiments from ideation to working demo.

About Us For over 20 years, Smart Data Solutions has been partnering with leading payer organizations to provide automation and technology solutions enabling data standardization and workflow automation. The company brings a comprehensive set of turn-key services to handle all claims and claims-related information regardless of format (paper, fax, electronic), digitizing and normalizing for seamless use by payer clients. Solutions include intelligent data capture, conversion and digitization, mailroom management, comprehensive clearinghouse services and proprietary workflow offerings. SDS’ headquarters are just outside of St. Paul, MN and leverages dedicated onshore and offshore resources as part of its service delivery model. The company counts over 420 healthcare organizations as clients, including multiple Blue Cross Blue Shield state plans, large regional health plans and leading independent TPAs, handling over 500 million transactions of varying types annually with a 98%+ customer retention rate. SDS has also invested meaningfully in automation and machine learning capabilities across its tech-enabled processes to drive scalability and greater internal operating efficiency while also improving client results. SDS recently partnered with a leading growth-oriented investment firm, Parthenon Capital, to further accelerate expansion and product innovation. Location : 6th Floor, Block 4A, Millenia Business Park, Phase II MGR Salai, Kandanchavadi , Perungudi Chennai 600096, India. Smart Data Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge skill and or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform essential job functions. Due to access to Protected Healthcare Information, employees in this role must be free of felony convictions on a background check report. Responsibilities Duties and Responsibilities include but are not limited to: Design and build ML pipelines for OCR extraction, document image processing, and text classification tasks. Fine-tune or prompt large language models (LLMs) (e.g., Qwen, GPT, LLaMA , Mistral) for domain-specific use cases. Develop systems to extract structured data from scanned or unstructured documents (PDFs, images, TIFs). Integrate OCR engines (Tesseract, EasyOCR , AWS Textract , etc.) and improve their accuracy via pre-/post-processing. Handle natural language processing (NLP) tasks such as named entity recognition (NER), summarization, classification, and semantic similarity. Collaborate with product managers, data engineers, and backend teams to productionize ML models. Evaluate models using metrics like precision, recall, F1-score, and confusion matrix, and improve model robustness and generalizability. Maintain proper versioning, reproducibility, and monitoring of ML models in production. The duties set forth above are essential job functions for the role. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. Skills And Qualifications 4–5 years of experience in machine learning, NLP, or AI roles Proficiency with Python and ML libraries such as PyTorch , TensorFlow, scikit-learn, Hugging Face Transformers. Experience with LLMs (open-source or proprietary), including fine-tuning or prompt engineering. Solid experience in OCR tools (Tesseract, PaddleOCR , etc.) and document parsing. Strong background in text classification, tokenization, and vectorization techniques (TF-IDF, embeddings, etc.). Knowledge of handling unstructured data (text, scanned images, forms). Familiarity with MLOps tools: MLflow , Docker, Git, and model serving frameworks. Ability to write clean, modular, and production-ready code. Experience working with medical, legal, or financial document processing. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate ) and semantic search. Understanding of document layout analysis (e.g., LayoutLM , Donut, DocTR ). Familiarity with cloud platforms (AWS, GCP, Azure) and deploying models at scale

Job Summary As the Technical Squad Lead, Central Platform Development, you will play a critical role in making the internal state of the bank's application and infrastructure services visible to stakeholders for troubleshooting, performance analysis, capacity planning, and reporting through the Central Monitoring and Observability Platform. You will lead to develop the bank’s central monitoring and observability platform and tooling to enable product owners, developers, and operators to efficiently trace performance problems to their source and map their application performance to business objectives. You will lead the Predictive Monitoring and Predictive Observability and AIOps practices for the platform to enable observability platform to predict issues early. Key Responsibilities Strategy Awareness and understanding of the TTO’25 business strategy and model appropriate to the role. Support and the enablement of the Central Monitoring & Observability strategy, goals and objectives by developing prioritized features aligned to the Catalyst and Tech Simplification programmes Business The Monitoring & Observability Platform team is a global team ensuring the design, development, delivery & support of the bank’s central monitoring and observability services for all TTO teams (technology domains). The ideal candidate will possess a deep understanding in one or more of the Observability technologies (Elastic Observability, Grafana Observability) and AIOps Specialist, Data Specialist, Machine Learning Engineer, Data Transformation Lead, enabling the design, development, implementation, and management of the machine learning frameworks, integrating advanced technological tools and techniques, with a strong focus on applying ML techniques to real-world problems. Participation in Weekend releases, overnight major incidents to help teams enable Observability Predictive Capability is a must as this is key capability for the role. Must have working experience on AIOps and MLOps Processes As the Technical Squad Lead, Central Platform Development, you will play a crucial role in ensuring the stability, reliability, and use of Machine learning of our applications and platform integrations, thereby enabling our organization to deliver predictive observability services to our internal stakeholders by adhering to the Enterprise SDLC (eSDLC) framework and guidelines. Responsibilities People & Talent Actively engaging in stakeholders’ conversations, providing timely, clear and actionable feedback to deliver solution within timeline. Risk Management The ability to interpret the Group’s technical and security (ICS) control requirements and information to identify potential risks and key issues based on this information and put in place appropriate controls and measures to mitigate or minimize risk to the central monitoring & observability platform delivery Governance Awareness and understanding of the eSDLC framework, in which the TTO software delivery operates, and the requirements and expectations relevant to the role. Responsible for adhering to the effectiveness of the central monitoring and observability platform deliver governance, based on oversight and controls of the eSDLC framework. Responsibilities Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters Key stakeholders TTO CIO Development teams TTO Product Owners TTO SRE / PSS TTO Cloud Engineering ET Foundation Service Owners Other Responsibilities Participate in solution architecture / design consulting, platform management, and capacity planning activities. Create sustainable solutions and services through automation and service uplifts within monitoring and observability disciplines. Participation in Weekend releases, overnight major incidents to help teams enable Observability Predictive Capability is a must. Skills And Experience Our ideal candidate should have overall minimum of 8+ years of IT experience. Bachelor’s Degree in computer science or Information Systems or equivalent applicable experience Proven experience (4 years) working as an Observability/Monitoring Specialist, AIOPs specialist, Data Transformation Lead or similar role, with a strong focus on applying observability techniques to real-world problems to reduce incident impacts. Design and develop AI-powered solutions for Observability using Machine Learning techniques and rightful used models. Must have experience on mentoring team in terms of creating structure to the book of work. Help team with organised product backlog. Participation in Weekend releases, overnight major incidents to help teams enable Observability Predictive Capability is a must as this is key capability for the role. Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch,SKLearn, XGboost etc.) and proficiency in programming languages such as Python, Hive, Spark, Pyspark etc. Working experience in AIOps by creating Data ingestion ETL pipelines, aggregation, analytics and Machine Learning. Must have working experience on AIOps and MLOps using traditional and Gen-AI LLM models such as Mistral, Llama, Bert. Enables Use of AI in responsible way and enable AI, ML technologies to identify historical trends, dynamic baselining and to drive Root cause analysis actions. Enables Use of Machine Learning as an assistant to enable observability analysts, product owners, incident managers, hive leads to come with right actions. Addressed problems through risk management and contingency planning. Software development life cycle knowledge in terms of analysis, development & testing phases. Qualifications Education: Degree Training: Agile Delivery, DevOps, Predictive Monitoring Certifications: Machine Learning, AIOps Languages: English Role Specific Technical Competencies Agile Delivery Application Delivery Process AIOps Specialist, Machine Learning Frameworks Software Product Technical Knowledge Monitoring and Observability Experience Data Pipelines Application Programming, Integration About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Responsibilities We are looking for exceptional engineers who consistently deliver outsized impact through deep technical expertise, rapid problem-solving, and strong ownership. Ideal candidates will not only write high-quality, scalable code but also influence architectural decisions, mentor team members, and build tools or frameworks that enhance team productivity. If you thrive in fast-paced environments, think systemically, and are passionate about driving both technical excellence and business outcomes, you’ll fit right in. This is a unique opportunity to shape our AI architecture, steer product direction, and drive innovation on a scale. Key Responsibilities Lead architectural design of AI-first systems that integrate LLMs, RAG pipelines, and agentic workflows. Takes full responsibility for projects — from concept to deployment and support Design scalable, cloud-native infrastructure for secure, low-latency GenAI deployments. Delivers high-quality code rapidly, often automating or optimizing repetitive tasks Deep knowledge of programming languages, algorithms, system design, and debugging. Able to solve complex problems quickly and efficiently. Define AI platform strategies including model selection, orchestration layers, data pipelines, and inference stacks. Architect modular APIs and reusable GenAI components across teams and product lines. Elevates the team, mentors others, communicates effectively Collaborate with engineering, product, and data science to bring AI capabilities to production rapidly. Evaluate, implement, and optimize LLMs (e.g., GPT, Claude, LLaMA) and vector databases (e.g., Pinecone, Qdrant). Champion best practices in AI safety, model governance, and performance monitoring. Sees the big picture — understands architecture, scalability, and maintainability Qualifications Required Qualifications 10+ years of experience in software architecture and engineering, including 3–5 years in AI/ML systems. Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Mistral) and GenAI tools (LangChain, LlamaIndex,Temporal, AutoGen). Proven experience architecting production-grade GenAI or ML-powered products. Expertise in system design, microservices, API architecture, and distributed systems. Proficient in Python and one backend/system-level language, Net Strong understanding of model training pipelines, retrieval systems, embeddings, and cloud AI infra. Familiar with MLOps, Kubernetes, and CI/CD for AI model deployment. Preferred Experience with multi-modal AI, agentic systems, or domain-specific fine-tuning. Exposure to AI regulations, ethical AI frameworks, and prompt security. Contributions to AI/ML open source or published research. Ability to mentor cross-functional teams and lead architecture councils. About Us With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 10 million contracts worth more than $1 trillion, in 40+ languages and 93 countries. About The Team Who we a re: Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners, and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination. Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter.

Job Title: Generative AI Architect Experience: 10+ Years Location: Noida, Mumbai, Pune, Chennai, Gurgaon (Hybrid) Contract Duration: Short Term Work Time: IST Shift Job Purpose We are seeking a highly skilled Generative AI Architect to lead the design, development, and deployment of cutting-edge GenAI solutions across enterprise-grade applications. This role demands deep expertise in large language models (LLMs), prompt engineering, and scalable AI system architecture, along with hands-on experience in MLOps, cloud, and data engineering. Key Responsibilities: Design and implement scalable, secure GenAI solutions using LLMs such as GPT, Claude, LLaMA, or Mistral Architect Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, Weaviate, FAISS, or ElasticSearch Lead prompt engineering and evaluation frameworks for accuracy, safety, and contextual relevance Collaborate with product, engineering, and data teams to integrate GenAI into existing applications and workflows Build reusable GenAI modules like function calling, summarization engines, Q&A bots, and document chat solutions Deploy and optimize GenAI workloads on AWS Bedrock, Azure OpenAI, and Vertex AI Ensure robust monitoring, logging, and observability using Grafana, OpenTelemetry, and Prometheus Apply MLOps practices including CI/CD of AI pipelines, model versioning, validation, and rollback Research and prototype innovations like multi-agent systems, autonomous agents, and fine-tuning methods Implement security best practices, data governance, and compliance protocols such as PII masking, encryption, and audit logs Required Skills & Experience: 8+ years in AI/ML with at least 2–3 years in LLMs or Generative AI Proficient in Python with experience in Transformers (Hugging Face), LangChain, OpenAI SDKs Strong knowledge of vector databases like Pinecone, Weaviate, FAISS, Qdrant Experience working with AWS (SageMaker, Bedrock), Azure (OpenAI), and GCP (Vertex AI) Hands-on expertise in RAG pipelines, summarization, and chat-based applications Familiarity with LLM orchestration frameworks like LangGraph, AutoGen, CrewAI Understanding of MLOps tools: MLflow, Airflow, Docker, Kubernetes, FastAPI Exposure to prompt injection mitigation, hallucination control, and LLMOps practices Ability to evaluate GenAI solutions using BERTScore, BLEU, GPTScore Strong communication skills with experience in architecture leadership and mentoring Preferred (Nice to Have): Experience fine-tuning open-source LLMs (LLaMA, Mistral, Falcon) using LoRA or QLoRA Knowledge of multi-modal AI systems (text-image, voice assistants) Domain-specific LLM knowledge in Healthcare, BFSI, Legal, or EdTech Contributions to published work, patents, or open-source GenAI projects

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

Job Description Java Developer with expertise in Prompt Engineering to join our AI-driven development team. The ideal candidate will combine robust Java backend development capabilities with hands-on experience in integrating and fine-tuning LLMs (e.g., OpenAI, Cohere, Mistral, or Anthropic), designing effective prompts, and embedding AI functionality into enterprise applications. This role is ideal for candidates passionate about merging traditional enterprise development with cutting-edge AI technologies. Key Responsibilities Design, develop, and maintain scalable backend systems using Java (Spring Boot) and integrate AI/LLM services. Collaborate with AI/ML engineers and product teams to design prompt templates, test prompt effectiveness, and iterate for accuracy, performance, and safety. Build and manage RESTful APIs that interface with LLM services and microservices in production-grade environments. Fine-tune prompt formats for various AI tasks (e.g., summarization, extraction, Q&A, chatbots) and optimize for performance and cost. Apply RAG (Retrieval-Augmented Generation) patterns to retrieve relevant context from data stores for LLM input. Ensure secure, efficient, and scalable communication between LLM APIs (OpenAI, Google Gemini, Azure OpenAI, etc.) and internal systems. Develop reusable tools and frameworks to support prompt evaluation, logging, and improvement cycles. Write high-quality unit tests, conduct code reviews, and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab. Work in Agile/Scrum teams and contribute to sprint planning, estimation, and retrospectives. Must-Have Technical Skills Java & Backend Development : Core Java 8/11/17 Spring Boot, Spring MVC, Spring Data JPA RESTful APIs, JSON, Swagger/OpenAPI Hibernate or other ORM tools Microservices architecture Prompt Engineering / LLM Integration : Experience working with OpenAI (GPT-4, GPT-3.5), Claude, Llama, Gemini, or Mistral models. Designing effective prompts for various tasks (classification, summarization, Q&A, etc.) Familiarity with prompt chaining, zero-shot/few-shot learning Understanding of token limits, temperature, top_up, and stop sequences Prompt evaluation methods and frameworks (e.g., LangChain, LlamaIndex, Guidance, PromptLayer) AI Integration Tools : LangChain or LlamaIndex for building LLM applications API integration with AI platforms (OpenAI, Azure AI, Hugging Face, etc.) Vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) DevOps / Deployment : Docker, Kubernetes (preferred) CI/CD tools (Jenkins, GitHub Actions) AWS/GCP/Azure cloud environments Monitoring : Prometheus, Grafana, ELK Stack Good-to-Have Skills Python for prototyping AI workflows Chatbot development using LLMs Experience with RAG pipelines and semantic search Hands-on with GitOps, IaC (Terraform), or serverless functions Experience integrating LLMs into enterprise SaaS products Knowledge of Responsible AI and bias mitigation strategies Soft Skills Strong problem-solving and analytical thinking Excellent written and verbal communication skills Willingness to learn and adapt in a fast-paced, AI-evolving environment Ability to mentor junior developers and contribute to tech strategy Education Bachelors or Masters degree in Computer Science, Engineering, or related field Preferred Certifications (Not Mandatory) : OpenAI Developer or Azure AI Certification Oracle Certified Java Professional AWS/GCP Cloud Certifications (ref:hirist.tech)

Bosch Software Engineering, Data Science Pune, Maharashtra, India Posted on Jul 14, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. Strong grasp of memory architectures, tool use, and action planning within AI agents. Autonomy Score: Measures the degree of independence in decision-making. Collaboration Efficiency: Evaluates the ability of agents to work together and share information. Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. Response Time: Measures the latency in agent decision-making and execution. Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. Expertise in Python, R, TensorFlow, Keras, and PyTorch. Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. Proficiency in advanced statistical methods and transformer-based text processing. Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails· Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS· Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI· Large Language Models (LLMs): GPT, Qualifications BE,B Tech, MTech Additional Information 7-11 years Apply now See more open positions at Bosch

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

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Key Responsibilities Lead end-to-end software development of our platform with a focus on backend (Laravel) and frontend (ReactJS) Architect, review, and optimize codebases, ensuring best practices in performance, maintainability, and scalability Integrate Generative AI (GenAI) solutions, LLMs, and recommendation systems into our existing product roadmap Guide implementation of AI-assisted development tools like GitHub Copilot and ensure effective use of MLOps pipelines Oversee CI/CD processes using tools such as GitHub Actions and Jenkins; maintain clean DevOps hygiene Lead data pipeline development including vectorization, use of VectorDB, and AI model integration (e.g., Mistral, LLaMA 3) Mentor and review code from junior developers; build a culture of quality, learning, and innovation Conduct feasibility and architectural evaluations for integrating technologies like RAG, vector databases, or MCP protocols Collaborate closely with product and design teams to translate ideas into tangible, efficient tech solutions Must-Have Skills Proven experience in Laravel (PHP) and ReactJS Solid knowledge of cloud infrastructure , especially AWS (EC2, RDS, S3, etc.) Strong understanding of AI/ML integration : fine-tuning models, vectorization, and AI-based app features Hands-on experience with GitHub Copilot or similar AI-powered development tools Familiarity with scraping tools , agent-based automation, and handling proxy rotation/IP masking Experience with CI/CD pipelines (Jenkins, GitHub Actions) Exposure to vector databases (e.g., Pinecone, Weaviate, or similar) Solid understanding of software architectural principles, testing frameworks, and secure coding practices Nice-to-Have Skills Experience with MCP protocols , RAG architecture, or LLM fine-tuning Previous work on AI chatbots or recommendation systems Familiarity with Python (for backend AI workflows) Experience with Scrapy , Composer packages for scraping, or other data ingestion pipelines Knowledge of Nginx configuration and proxy management What You’ll Get Opportunity to lead and shape the technical direction of a growing AI-powered platform Work in a flat, collaborative, and intellectually curious team Exposure to cutting-edge AI tools and research-driven product development Flexible work culture with scope for innovation and ownership

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Overview Lead the design and development of GenAI-powered systems, including LLM apps, RAG pipelines, fine-tuning strategies, and model deployment. Own architectural decisions, code quality, and system scalability in AI-heavy projects. Guide the team in using tools like OpenAI, Hugging Face, LangChain, Pinecone/Weaviate, and model optimization libraries. Manage the full ML lifecycle: from data preparation and model experimentation to deployment and monitoring in production. Collaborate with Product Managers, Designers, and Stakeholders to define and prioritize AI use cases. Coach and mentor team members in technical growth, GenAI trends, and engineering excellence. Stay abreast of the latest GenAI research (e.g., GPT-4/Claude/Mistral/Sora) and translate those insights into practical applications Responsibilities 6+ years of software engineering or ML experience with at least 2+ years leading teams or projects. Hands-on experience with LLMs (GPT, LLaMA, Claude, etc.) and GenAI frameworks (LangChain, LlamaIndex, etc.). Deep proficiency in Python, APIs, ML pipelines, and cloud platforms (AWS/GCP/Azure). Solid understanding of vector databases (FAISS, Pinecone, Weaviate), embeddings, and RAG architecture. Experience with fine-tuning, prompt engineering, and/or RLHF workflows. Excellent communication, leadership, and stakeholder management skills. Requirements Background in NLP, multimodal models (text + image/video/audio), or knowledge distillation. Experience building GenAI chatbots, copilots, or domain-specific AI assistants. Familiarity with DevOps/MLOps: Docker, Kubernetes, MLflow, CI/CD, or model monitoring. Contributions to AI research or open-source GenAI tools/projects.

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Job Title : Product Engineer – AI-Powered Developer Tools (On-Prem) Location : Tower 1, World Trade Center, Kharadi, Pune Work Arrangement : Full-time, In-Office Role Snapshot Join our core engineering squad building air-gapped, AI-powered developer tooling that enterprises can run entirely behind their firewalls. You’ll turn ideas and prototypes into polished features, work shoulder-to-shoulder with architects, and ship code that delights developers— the product mainly build to work within customer firewalls, customized LLM models and on-prem systems. Key Responsibilities • Feature Ownership (End-to-End) – design, code, test, and merge user-facing features in our AI-driven IDE extensions and backend services. • Self-Hosted AI Wiring – integrate local LLMs, embeddings, and static-analysis models (e.g., Llama-3, Mistral) for completion, refactor, search, and chat—no external endpoints. • CI/CD & DevOps Contribution – keep pipelines green, Dockerise new services, update Helm/Ansible scripts, and ensure on-prem deploys are one-click. • Quality First – write unit, integration, and Playwright/Cypress tests; monitor performance budgets and chase latency until it feels instant. • Collaborative Engineering – pair-program, review PRs, and share knowledge to unblock teammates; work closely with an 8-10-person dev pod and the Product Architect. Must-Have Experience • 2–5 years building production-grade software (SaaS tools, IDE plugins, or backend services). • Solid in Java, API, microservices, TypeScript/JavaScript plus Python or Go (Rust/C++ welcome). • Comfortable with Git workflows, Docker , and at least one on-prem K8s/OpenShift environment. • Exposure to LLM frameworks (e.g., Ollama, HF Transforme rs) or traditional ML pipelines. • Familiar with IaC (Helm/Ansible/Terraform) and basic Linux ops. You'll be a good fit if you: • Were a cracked builder before the Al wave. • Have Al fully embedded in your workflow but didn't need it to be great. • Know how to use tools like Cursor, Claude Code, Google CLI, Windsurf, Replit, and Lovable — and push them to the limit. • Can build entirely functional prototypes within 1-2 hours using AI tools. • Have built products people use (and love). • Care more about who you work with than what you work on. • Ship fast, iterate faster, and value momentum over perfection. • See coding as craft — performance, polish, and UX matter to you. • Are allergic to bureaucracy and energized by ownership. Why Smart Analytica? • Green-field canvas: help build the next must-have, on-prem AI coding platform. • Hands-on mentorship: work directly with seasoned architects & AI experts. • Tight-knit team : builders who care about craft, speed, and each other. Ready to code the future—behind the firewall? Email your résumé to hiring@smart-analytica.com with subject “ Product Engineer ”

Key Responsibilities: LLM Deployment & Optimization Deploy, fine-tune, and optimize open-source LLMs (e.g., LLaMA, Mistral, CodeS, DeepSeek). Implement quantization (e.g., 4-bit, 8-bit) and pruning for efficient inference on commodity hardware. Build and manage inference APIs (REST/gRPC) for production use. Infrastructure Management Set up and manage on-premise GPU servers and VM-based deployments. Build scalable cloud-based LLM infrastructure using AWS (SageMaker, EC2), Azure ML, or GCP Vertex AI. Ensure cost efficiency by choosing appropriate hardware and job scheduling strategies. MLOps & Reliability Engineering Develop CI/CD pipelines for model training, testing, evaluation, and deployment. Integrate version control for models, data, and hyperparameters. Set up logging, tracing, and monitoring tools (e.g., MLflow, Prometheus, Grafana) for model performance and failure detection. Security, Compliance & Performance Ensure data privacy (FERPA/GDPR) and enforce security best practices across deployments. Apply secure coding standards and implement RBAC, encryption, and network hardening for cloud/on-prem. Cross-functional Integration Work closely with AI solution engineers, backend developers, and product owners to integrate LLM services into the platform. Support performance benchmarking and A/B testing of AI features across modules. Documentation & Internal Enablement Document LLM pipelines, configuration steps, and infrastructure setup in internal playbooks. Create guides and reusable templates for future deployments and models. Key Requirements: Education: Bachelors or Masters in Computer Science, AI/ML, Data Engineering, or related field. Technical Skills: Strong Python experience with ML libraries (e.g., PyTorch, Hugging Face Transformers). Familiar with LangChain, LlamaIndex, or other RAG frameworks. Experience with Docker, Kubernetes, and API gateways (e.g., Kong, NGINX). Working knowledge of vector databases (FAISS, Pinecone, Qdrant). Familiarity with GPU deployment tools (CUDA, Triton Inference Server, HuggingFace Accelerate). Experience: 4+ years in an AI/MLOps role, including experience in LLM fine-tuning and deployment. Hands-on work with model inference in production environments (both cloud and on-prem). Exposure to SaaS and modular product environments is a plus.

Job Title : Product Architect – AI-Powered Developer Tools (On-Prem) Location : Tower 1, World Trade Center, Kharadi, Pune Work Arrangement: Full-time, In-Office Role Snapshot Be the architect who turns cutting-edge AI research into air-gapped, enterprise-grade developer tooling . You will research emerging AI-IDE innovations, spin up quick-and-dirty prototypes, and drive an 8-10-person team to ship those features at break-neck speed— the product mainly build to work within customer firewalls, customised LLM models and on-prem systems. Key Responsibilities • On-Prem Architectural Ownership – design a fully self-hosted, distributed architecture that runs on VMs, bare-metal, or private Kubernetes/OpenShift clusters—data-plane to UI. • Rapid Innovation Research – scout open-source / offline-capable AI techniques, prototype them in Python/TypeScript/Go, and distil viable features for the roadmap. • Self-Hosted AI/ML Integration – deploy and fine-tune local LLMs (Llama-3, Mistral, Ollama, GPT-J, etc.), embeddings, and code-intel models with sub-second latency—no external calls. • Secure Build & Packaging – craft hardened build pipelines, sign binaries, embed anti-reverse-engineering guards, and own SBOM & vulnerability closure. • DevOps & CI/CD Leadership (Behind the Firewall) – standardise Docker images, private registries, and IaC (Ansible/Terraform/Helm) for on-prem clusters; enforce shift-left security. • Technical Leadership – run design reviews, create ADRs, mentor and unblock an 8-10 dev team, keeping docs & diagrams one sprint ahead. • Performance & Reliability – set SLOs, choose the right caches/queues, and tune until users feel performance is instant. Ideal Candidate Traits • 8–12 years building large, scalable on-prem or hybrid dev-tool products; 3+ years as lead/principal architect. • Fluent in at least two of Python, TypeScript/Node, Go, Rust , Java plus AI/ML frameworks. • Proven track record of shipping self-hosted LLM/ML solutions without external API dependencies. • Deep expertise in distributed systems , secure SDLC, Docker/K8s/OpenShift, and private IaC tooling. • Thrives on turning research spikes into production-ready features—fast. You'll be a good fit if you: • Were a cracked builder before the Al wave. • Have Al fully embedded in your workflow but didn't need it to be great. • Know how to use tools like Cursor, Claude Code, Google CLI, Windsurf, Replit, and Lovable — and push them to the limit. • Can build entirely functional prototypes within 1-2 hours using AI tools. • Have built products people use (and love). • Care more about who you work with than what you work on. • Ship fast, iterate faster, and value momentum over perfection. • See coding as craft — performance, polish, and UX matter to you. • Are allergic to bureaucracy and energized by ownership. Why Smart Analytica? • Green-field canvas: define the DNA of a next-gen, on-prem AI coding platform. • Hands-on freedom : founders expect you to lead and code. • Tight-knit team : builders who care about craft, speed, and each other. Ready to sketch the blueprint and ship it on-prem? Email your résumé to hiring@smart-analytica.com with subject “ Product Architect ".

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description: Design, fine-tune, and deploy LLM-based solutions (e.g., ChatGPT, LLaMA, Mistral, Claude).Integrate LLMs into modern web applications to deliver intelligent user experiences Develop end-to-end full-stack applications using modern web frameworks and RESTful APIs. Collaborate with data scientists and product managers to translate business problems into LLM-based applications. Build and optimize prompt engineering workflows for maximum model performance. Ensure performance, scalability, and security of deployed solutions Stay up to date with the latest advancements in generative AI and web development Must Have: LLM & AI/ML Skills: Deep experience with LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) Expertise in prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) Familiarity with Hugging Face, LangChain, or similar AI frameworks Strong Python programming skills, especially in NLP libraries (e.g., Transformers, SpaCy, PyTorch, TensorFlow) Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)Web Development: Proficiency in modern front-end frameworks (React, Angular, or Vue.js) Strong backend development experience (Node.js, Django, Flask, or FastAPI) Hands-on experience building and integrating RESTful APIs and GraphQL endpoints Strong understanding of web architecture, security, performance optimization.DevOps & Deployment: Experience with Docker, Kubernetes, or cloud services (AWS, Azure, GCP)CI/CD pipelines and code quality tools (e.g., GitHub Actions, Jenkins)General:Strong problem-solving and debugging skills. Excellent written and verbal communication.Ability to work independently in a fast-paced, innovative environment Ability to translate business needs into scalable tech solutions Leadership experience in mentoring or guiding technical teams Qualifications Master’s or Bachelors in Computer Science, Artificial Intelligence, or a related field Experience with production-grade LLM applications (chatbots, agents, copilots, etc.) 8+ years of hands-on experience

Pune,Maharashtra,India +3 more Job ID 770049 Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?