633 Gen Ai Jobs - Page 13

We are hiring Data Scientists (2-5 yrs)/ Senior Data Scientist (5 - 8 yrs)/ with strong programming skills in Python and exposure in Classical ML/ GenAi/LLM/NLP/Pricing for Tredence Analytics. Job location: Pune/Kolkata/Hyderabad/Bangalore/Gurgaon/Chennai About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 2,500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. As we complete 10 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth. Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base. Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in few tier 2 cities in India. In 2024, we also plan to hire more than 1000 employees across markets. Tredence is a Great Place to Work(GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance. At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible

JD: Required Qualifications: 3+ years of professional software development experience with strong proficiency in Python . Hands-on experience building applications that interact with or utilize Generative AI models (e.g., Large Language Models - LLMs). Familiarity with key Generative AI concepts like prompt engineering, Retrieval-Augmented Generation (RAG). Experience with relevant Python libraries and frameworks for application development (e.g., Flask, FastAPI, Streamlit, LangChain, Hugging Face Transformers). Solid understanding of software engineering principles, including API design, data structures, and algorithms. Experience with version control systems (e.g., Git). Ability to work effectively in a collaborative team environment. If interested, please share your updated resume with me at fjayaraj@griddynamics.com along with the details required. I will get back to you shortly with next steps. Current CTC Expected CTC Notice Period

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.

Mandatory skill set: Python, any cloud, MLE, Deep learning, NLP, MLOPS, {Gen AI (LLM,Langchain,RAG ,Open AI}

Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps. Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps. Your role in our mission Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, quantization, pruning, and fine-tuning pipelines. Integrate prompt management, version control, and retrieval-augmented generation (RAG) pipelines. Manage vector databases, embedding stores, and document stores used in conjunction with LLMs. Monitor hallucination rates, token usage, and overall cost optimization for LLM APIs or on-prem deployments. Continuously monitor models for its performance and ensure alert system in place. Ensure compliance with ethical AI practices, privacy regulations, and responsible AI guidelines in LLM workflows. Core ML Ops Responsibilities: Design, build, and maintain robust CI/CD pipelines for ML model training, validation, deployment, and monitoring. Implement version control, model registry, and reproducibility strategies for ML models. Automate data ingestion, feature engineering, and model retraining workflows. Monitor model performance, drift, and ensure proper alerting systems are in place. Implement security, compliance, and governance protocols for model deployment. Collaborate with Data Scientists to streamline model development and experimentation. What we're looking for Bachelor's/Master’s degree in computer science, Engineering, or related fields. Strong experience with ML Ops tools (Kubeflow, MLflow, TFX, SageMaker, etc.). Experience with LLM-specific tools and frameworks (LangChain,Lang Graph, LlamaIndex, Hugging Face, OpenAI APIs, Vector DBs like Pinecone, FAISS, Weavite, Chroma DB etc.). Solid experience in deploying models in cloud (AWS, Azure, GCP) and on-prem environments. Proficient in containerization (Docker, Kubernetes) and CI/CD practices. Familiarity with monitoring tools like Prometheus, Grafana, and ML observability platforms. Strong coding skills in Python, Bash, and familiarity with infrastructure-as-code tools (Terraform, Helm, etc.).Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Strong skills in Giskard, Deepeval etc. What you should expect in this role Fully Remote Opportunity – Work from anywhere in the India Minimal Travel Required – Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. Role Description Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, quantization, pruning, and fine-tuning pipelines. Integrate prompt management, version control, and retrieval-augmented generation (RAG) pipelines. Manage vector databases, embedding stores, and document stores used in conjunction with LLMs. Monitor hallucination rates, token usage, and overall cost optimization for LLM APIs or on-prem deployments. Continuously monitor models for its performance and ensure alert system in place. Ensure compliance with ethical AI practices, privacy regulations, and responsible AI guidelines in LLM workflows. Core ML Ops Responsibilities: Design, build, and maintain robust CI/CD pipelines for ML model training, validation, deployment, and monitoring. Implement version control, model registry, and reproducibility strategies for ML models. Automate data ingestion, feature engineering, and model retraining workflows. Monitor model performance, drift, and ensure proper alerting systems are in place. Implement security, compliance, and governance protocols for model deployment. Collaborate with Data Scientists to streamline model development and experimentation.

Gainwell Technologies LLC Summary Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI / GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission AI/ GEN AI Model Development – Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. Experienced in multiple LLM fine tuning techniques. Experienced in building GEN AI solutions using RAG architecture. Skilled in both Lang Chain and Lang Graph. Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. Experienced in multiple Vector Databases as well as Graph Database Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js What we're looking for Master’s or Ph.D in Computer Science, AI, Data Science, or a related field. 4+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. Hands-on expertise in machine learning, deep learning, Gen AI ( multi modal LLMs), NLP, and computer vision. Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. What you should expect in this role Fully Remote Opportunity – Work from anywhere in the India Minimal Travel Required – Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. AI/ GEN AI Model Development – Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. Experienced in multiple LLM fine tuning techniques. Experienced in building GEN AI solutions using RAG architecture. Skilled in both Lang Chain and Lang Graph. Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. Experienced in multiple Vector Databases as well as Graph Database Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js

Gainwell Technologies LLC Your role in our mission Develop and deploy GenAI-based applications to solve complex business problems. Implement RAG frameworks to enhance information retrieval and response accuracy. Design and optimize document chunking strategies tailored to specific data types and use cases. Build and manage data embeddings using various vector databases for high-performance similarity searches. Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines. Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services. Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape. What we're looking for Proficiency in Generative AI frameworks and technologies like Prompt Engineering – creating specific prompts to guide LLM outputs Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks. Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms. Expertise in designing and implementing chunking strategies for diverse datasets. Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus. Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure). Experience with API integration for AI services and building scalable applications. What you should expect in this role Develop and deploy GenAI-based applications to solve complex business problems. Implement RAG frameworks to enhance information retrieval and response accuracy. Design and optimize document chunking strategies tailored to specific data types and use cases. Build and manage data embeddings using various vector databases for high-performance similarity searches. Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines. Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services. Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape. Summary We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus

Russell Investments is actively hiring for Artificial Intelligence, Analyst for Mumbai, Goregaon (E) location. Interested applicants can share their updated resumes on rhule@russellinvestments.com Job Description This role is responsible for supporting and growing the AI strategy, platform and deliverables at Russell Investments. We are looking for a curious and analytical individual who will research, develop, implement, and maintain processes to meet the needs of our AI strategy and deliver on business objectives. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. Years of Experience Suitable candidates would have 2 - 5 years of programming/artificial intelligence experience along with some knowledge machine learning. Qualifications Bachelor's degree in Computer Science, Engineering, Finance, Economics, Statistics, or a related field. Advanced degree preferred. Proficient in Python and SQL (R or C# a plus) Exposure to TensorFlow, PyTorch and NLP Techniques. Proven experience in developing Generative AI applications Strong experience with Selenium, Beautiful Soup and/or other web crawling techniques Experience working with large-scale datasets for speech, video and text. Familiarity with Whisper models, speech-to-text, video intelligence, and chatbot frameworks. Experience with DevOps toolkit is a plus Strong analytical skill set with the ability to analyze complex data. Ability to read, analyze and interpret financial reports, tax documents, etc. Excellent problem-solving and debugging skills. Ability to work collaboratively in a fast-paced environment. Responsibilities Support and develop our Python code infrastructure Design and implement AI-powered speech and video processing solutions. Develop and optimize deep learning models for speech recognition, language modeling, and computer vision. Improve chatbot capabilities by integrating multimodal AI components. Create RAG workflows to ensure seamless AI tool integration. Stay updated with the latest AI research and bring innovative ideas to the team. Document workflows, models, and AI applications to ensure scalability and reproducibility. Work closely with business units to understand projects requirements and deliver solutions that meet business objectives Troubleshoot, debug and optimize code to ensure high performance and reliability of AI applications Stay abreast of the latest developments in AI, integrating new technologies into projects as appropriate Stay familiar with ethical AI and web scraping principles

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of [Principal MLOps Engineer]! In this role, you will lead the design, scale, and governance of our AI/GenAI delivery platform across the organization. This role owns the vision, architecture, and execution of production-grade MLOps systems supporting multiple domains including classical ML, NLP, computer vision, and GenAI use cases. This leader will drive enterprise-wide standardization of CI/CD, IAC-based cloud infrastructure, model governance, monitoring, and risk control — enabling AI at scale, securely and responsibly. Responsibilities Define and evolve the enterprise MLOps reference architecture (build test deploy monitor retrain) Architect a multi-tenant AI platform with native GenAI support (LLMs, RAG, LangChain/Bedrock/OpenAI integrations) Own all infrastructure-as-code strategy, with modular, reusable Terraform stacks for multi-cloud/hybrid deployments Lead CI/CD modernization across teams (GitHub Actions, CodePipeline, Argo Workflows) Establish centralized model governance, access control, and explainability standards (integrating tools like SHAP, LIME, CloudWatch, SageMaker Model Monitor) Champion infrastructure observability and compliance logging for regulated environments (banking, insurance, healthcare) Represent MLOps in enterprise-wide architecture reviews and cloud optimization boards Qualifications we seek in you! Minimum Qualifications • 8 - 10 years in DevOps, Cloud, or ML Infrastructure roles. • 5+ years leading MLOps initiatives at scale in production. • Degree/qualification in Computer Science or a related field, or equivalent work experience • Deep AWS expertise (SageMaker, Lambda, VPC, CloudWatch, IAM). • Strong Python and Terraform skills, with proven CI/CD implementation track record. • Experience with deploying GenAI models (OpenAI, Bedrock, Hugging Face) and managing inference at scale. • Engaging in the design, development and maintenance of data pipelines for various AI use cases • Active contribution to key deliverables as part of an agile development team • Experience designing model governance frameworks and CI/CD pipelines. • Familiarity with LangChain, Bedrock, and OpenAI API integrations. • Collaborating with others to source, analyse, test and deploy data processes Preferred Qualifications/ Skills Leadership experience in BFSI, healthcare, or regulated industries. Advanced understanding of platform security, cost optimization, and ML observability. Must have Experience developing, testing, and deploying data pipelines Influence over tooling selection, hiring, architecture reviews, and platform roadmap. Exposure to BFSI or regulated environments. Experience developing, testing, and deploying data pipelines Clear and effective communication skills to interact with team members, stakeholders and end users Degree/qualification in Computer Science or a related field, or equivalent work experience Knowledge of governance and compliance policies, standards, and procedures Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Role & responsibilities - You know the ins and outs of AI and GenAI, and know the different steps of the data science process: from data extraction over model building to deployment and monitoring has no secrets for you. - You know the Azure cloud stack, especially Azure AI. - You have a good understanding of APIs, databases, Python and LLMs. - You communicate fluently in English. - You are not shy to challenge the governance processes and try to improve the current way of working. Preferably, you also have: - Knowledge about the AI Brains platform and MEAN stack applications. - Experience with digital signal processing (of voice, images, video). - Experience with following tools/technologies/frameworks: Jira, Agile, Scrum, Confluence. As a person, you: - Have a strong analytical mindset and excellent problem-solving skills. -Have excellent cross-functional communication and collaboration skills. - Take ownership and initiative and you feel responsible for your job. You can work autonomously, yet enjoy working in a team as well. - Are innovative and like to solve problems creatively. You think outside of the box and come up with solutions to roadblocks yourself, yet you are open to new ideas and experiences. You believe that theres always a better way. - Have a critical mindset. You are prepared to be challenged by our team as well as other stakeholders. In return, we expect you to do the same. - Are customer oriented. User satisfaction is your priority to guarantee a long-term commitment. - Are flexible and eager to learn. You enjoy learning new skills and can adapt to different tasks. You are able to work in a dynamic environment. Main responsibilities: Serve as the first point of contact for end-users with questions about AI Brains Introduce the platform and all its features Ensure teams are fully operational and can operate independently Provide initial support to get teams up and running Debug issues as needed Perform necessary actions for non-technical bot owners for more technical features Track and communicate often-requested features, new ideas, and development opportunities to the team Stay updated on the latest advancements in GenAI technology and contribute to the research and development of new AI-based solutions.

JOB DESCRIPTION: The GenAI Developer will work closely with cross-functional teams and the AI Brains Product Owner to understand requirements, develop GenAI-based systems, and ensure seamless integration with existing technology infrastructure. Additionally, the candidate will scout the market for the best off-the-shelf GenAI solutions, evaluate different technology platforms, and identify the most effective and efficient ways to incorporate them into our systems. This includes researching and analyzing free and paid solutions to determine the best fit for our needs. The ideal candidate must have strong knowledge of MEAN, Azure (AI), AI and GenAI, DevOps, Python and Jira. Additionally, proficiency in other relevant technologies and frameworks, excellent problem-solving skills and the ability to work in a dynamic environment are essential for success in this role. Required skills are as follows: You have proven experience with MEAN stack: developing and owning applications from intake to delivery and support. DevOps an Git do not have any secrets for you. You know the ins and outs of AI and GenAI, and can perform the different steps of the data science process: from data extraction over model building to deployment and monitoring has no secrets for you. You know the Azure cloud stack, especially Azure AI. You know your way around in Python, React and SQL. You communicate fluently in English. You are not shy to challenge the governance processes and try to improve the current way of working.

Job Description: We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block” via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like “Find me the slide where person X talks about success in life” in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut Responsibilities: Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment.

Roles & responsibilities Serve as the AI & data strategist , discovering and onboarding new data sources and shaping end-to-end pipelines that span traditional analytics, machine learning (ML), deep learning (DL), natural-language processing (NLP), generative AI (Gen AI), and agentic AI . Partner with engineering to design, build, and harden production-grade data and AI products (e.g., RAG search, LLM-powered assistants, anomaly-detection services). Run analytical experiments classification, forecasting, LLM fine-tuning, prompt-engineering A/B tests to solve business problems across multiple domains. Collect, clean, and enrich large structured, semi-structured, and unstructured datasets (text, image, audio, sensor, graph). Design, train, and validate classical ML models, DL architectures (CNN, RNN, Transformers), and instruction-tuned LLMs ; measure drift and conduct error analysis to drive iterative improvement. Implement retrieval-augmented generation and agentic task-planning pipelines that combine vector search, function calling, and tool invocation. Document findings, publish reusable components, and mentor junior data scientists and ML engineers. Qualifications Experience Proven experience in delivering data-driven solutions, with demonstrable depth in at least two of: ML, DL, NLP, GenAI, agentic AI. Hands-on proficiency in Python (pandas, NumPy, scikit-learn), DL frameworks (TensorFlow or PyTorch), and LLM / GenAI toolkits (Hugging Face Transformers, LangChain/LangGraph, Google ADK). Proven track record in feature engineering, pattern recognition, predictive modeling, and LLM fine-tuning / evaluation . Experience optimizing GPU / TPU workloads and scaling distributed training or inference. Familiarity with vector databases (FAISS, Chroma, Pinecone) and distributed data systems (Spark, BigQuery, Snowflake). sibilities Preferred candidate profile

Inviting Applications for In-Person Interview in Bangalore Interested candidates can fill out the form and book their interview slot. https://forms.office.com/Pages/ResponsePage.aspx?id=x1J_P7IHsUygekliVgIeb3baKLOAzqJCoCpmtamCmihURE9UOE1aWUxEUFFTMEpVSkpCUEpPNjg0Ui4u

JD :- Must be a team player who can work across many teams to establish shift left quality and test automation approach. Implements and oversees the test automation approach (working with all squads within the POD) to deliver the Test Automation Strategy including CICD, nonfunctional testing - performance, security engineering, compatibility, accessibility testing Drives out improvements and innovation around tooling, frameworks and approaches working on shift left first principles and the automation pyramid Able to work constructively with other POD leads and Squad leads to ensure the best value is being driven through the automation approach and that the approach is consistent with other PODs where beneficial Works with the POD leads and the business/POs to ensure there is a holistic and consistent approach to Quality (through RCA, metrics, code quality, (defect) stage containment) and ensures cross communication and collaboration on QA best practices, risks and open issues across other PODs Leads and federates the overall test approach to the Squads - built-in quality, metrics, methods and tools Leads process improvement initiatives focus on Quality, Velocity and Efficiency (agreed across the POD) e.g closer alignment to business acceptance, operations etc Ensure consistency across all squads in line with POD strategy/maturity/priorities/global approach - undertaking quality reviews and deep dives to ensure there is a consistent approach Input into PI planning, and subsequent resourcing planning - including skills profiling and identify training requirements for POD members Identify supplier training requirements and feed into global KPI and supplier measures Provides timely reports with qualitative and quantitative analysis of test coverage, defect trends & leakage enabling key stakeholders (including Squad leaders) for timely course correction Define and design quality metrics and dashboard to enable the Pod lead & PO to frequently gauge the quality of the software Manage a team of Test Engineer leads and Test analysts YOUR EXPERIENCE & VALUES Strong understanding of Test Engineering and Quality Assurance best practices, tools and policies The ability to communicate effectively to both technical and non-technical colleagues in a cross-functional environment Proven track record of successfully delivering Quality software solutions Strong Leadership skills and a team player Experience or knowledge of working with Agile at Scale, Lean and Continuous Delivery approaches such as Continuous Integration, Test-Driven Development and Infrastructure as Code Experience in selenium tools and Configuring Selenium Test Environment (Ex: Eclipse IDE, Java, Selenium-C# etc). Involvement in Test Environment Setup Familiar with Automation Framework Design and Implementation Understanding of CI/CD and DevOps practices Excellent communication both in English and Romanian Technical Skills Required Proficient in the following Test automation languages and frameworks; JavaScript, Webdriver IO, Playwright Strong experience working with MSSQL, API test automation Good understanding of working with a source control systems such as Azure DevOps/TFS, Github or Bitbucket . Along with this need experience in GEN AI Tools Feel free to reach out at gurpreet.singh@esolglobal.com/7087455569 (WhatsApp)

About Us: Tessolve offers a unique combination of pre-silicon and post-silicon expertise to provide an efficient turnkey solution for silicon bring-up, and spec to the product. With 3200+ employees worldwide, Tessolve provides a one-stop-shop solution with full-fledged hardware and software capabilities, including its advanced silicon and system testing labs. Tessolve offers a Turnkey ASIC Solution, from design to packaged parts. Tessolves design services include solutions on advanced process nodes with a healthy eco-system relationship with EDA, IP, and foundries. Our front-end design strengths integrated with the knowledge from the backend flow, allows Tessolve to catch design flaws ahead in the cycle, thus reducing expensive re-design costs, and risks. We actively invest in the R&D center of excellence initiatives such as 5G, mmWave, Silicon photonics, HSIO, HBM/HPI, system-level test, and others. Tessolve also offers end-to-end product design services in the embedded domain from concept to manufacturing under an ODM model with application expertise in Avionics, Automotive, Industrial and Medical segments. Tessolves Embedded Engineering services enable customers a faster time-to-market through deep domain expertise, innovative ideas, diverse embedded hardware & software services, and built-in infrastructure with world-class lab facilities. Tessolves clientele includes Tier 1 clients across multiple market segments, 9 of the top 10 semiconductor companies, start-ups, and government entities. We have a global presence over 12 countries with office locations in the United States, India, Singapore, Malaysia, Germany, United Kingdom, Canada, UK, Japan, Taiwan, Philippines, and Test Labs in India, Singapore, Malaysia, Austin, San Jose. For more details, visit www.tessolve.com. Job Summary: We are looking for a dynamic and experienced Technical Lead to spearhead Generative AI initiatives using Microsoft Azure Cloud and OpenAI services. You will play a pivotal role in architecting, developing and deploying AI-driven applications that deliver real business value. This is a hands-on leadership role, ideal for someone who thrives at the intersection of technology, strategy and innovation. What You'll Do: • Architect and design the GenAI Solution leveraging Azure OpenAI Services, GPT models and other Azure AI Capabilities. • Configure, Deploy & Scale systems and solutions in Azure Cloud. • Develop and optimize prompt engineering strategies, fine-tune LLMs and integrate vector databases. • Participate in full project life cycle (including requirement analysis, system design, development and support if required) • Develop, maintain and support existing Python applications and analyse and convert business requirements as needed. • Analyse and revise existing system logic diiculties and ensure that technical knowledge of all phases of application systems is maintained. • Create and maintain technical documentation, including user manuals and guides. • Lead the team of AI engineers, providing mentorship, code reviews, and technical guidance to drive project success. • You will be the key lead in reporting on project status and product development status to leadership. • Collaborate with our SME to define and deliver high-impact AI solutions. Who you are: 8-12 years of experience in Python Programming with at least 3 years of experience in Generative AI applications. Strong hands-on experience with Azure Cloud (Azure OpenAI, Azure Functions, Azure Machine Learning, Azure Cognitive Services, etc) Expertise in using OpenAI APIs (ChatGPT, GPT-4, embeddings, fine-tuning, etc.). Proficiency in Python, JavaScript/TypeScript, or similar languages used in AI application development. Should have strong knowledge, and understanding of the GenAI models, algorithms, and techniques - OpenAI, LLaMA, Claude, Palm, LLMs, how to deploy them on cloud/ on-premises and use APIs to build Industry solutions. Experienced in implementing and optimizing generative models for various applications such as code generation, text generation, image synthesis, and data augmentation. Experienced in using frameworks like LangChain, Llamaindex, and Semantic Kernel. Experience with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores. Familiarity with Git, CI/CD, Docker, Kubernetes, and DevOps practices. VSCode extension development experience will be a plus. Proven experience leading AI/ML teams, with a track record of delivering projects and mentoring team members will be an added advantage. What We Offer: • Opportunity to lead cutting-edge AI projects in a fast-paced, innovation-driven environment. • Collaborative team culture with opportunities for growth and learning. • Competitive salary and performance-based incentives. • Flexible work arrangements and generous leave policies. Tessolve Semiconductor Private Limited, as well as its affiliates and subsidiaries (Tessolve) does not require job applicants to make any payments at any stage of the hiring process. Any request for payment in exchange for a job opportunity at Tessolve is fraudulent and should be ignored. If you receive any such communication, we strongly advise you to refrain from making any payments and to promptly report the incident to us at hr@tessolve.com. Tessolve is not responsible for any losses incurred due to such fraudulent activities

Dear Candidate, Warm Greetings from Bahwan Cybertek Consulting ( Group of Bahwan Cyber Tek Companies www.bahwancybertek.com ) Please find the below Job details : Job Role: Functional + Gen AI Experience Required : 4-8 Years Work Location : Bangalore (Hybrid) Permanent Payroll with: Bahwan Cybertek Consulting ( https://bctconsulting.com/) End Client: Big 4 Firm Job Summary: 3-4 years of professional manual testing experience. Experience in end-to-end software testing process (SDLC). Preparation of test cases, execution of test cases and defect reporting. Attend client/onshore meetings and establish strong professional relationships with onshore team members. Participate in the solution development process for internal business unit. Experience with defect management tools like ALM, JIRA, and DevOps etc. Basic knowledge in SQL and database Knowledge of cloud concepts is required Test AI/ML-powered features (e.g., chatbots, content generation, predictive analytics). Evaluate output accuracy, bias, and performance of GenAI models (ChatGPT, Claude, Gemini, etc.). Document edge cases and limitations of AI-generated responses. . Must be able to work efficiently as part of a team and independently. Apply creativity and analytical thinking in a problem-solving environment. Ability to think out-of-the box. Exceptional written and verbal communication skills. Should possess a positive attitude and be willing to learn new tools and technology. Education / Professional qualifications Bachelors/ Master’s degree in an appropriate field from an accredited college/university. Please share your PF Employment service History to process your candidature further. If Interested and suitable for the role, please acknowledge and share with Pan Card Copy and Updated Resume to Prathyusha.d@bct-consulting.com Reference are Highly Appreciated! Best Regards, Prathyusha D Senior Executive - Talent Acquisition Prathyusha.d@bct-consulting.com

Role & responsibilities Key Responsibilities : AI Strategy and Vision : Lead the identification of AI-driven use cases within the business, with a focus on cost optimization, structured data management, and process transformation. Work closely with business leaders and key stakeholders to define AI product roadmaps and deliverables that align with business objectives. Develop a deep understanding of the business workflows and guide the team in how AI can be used to optimize and innovate these processes. AI Product Development & Delivery : Own the end-to-end delivery of AI products, from ideation and conceptualization to implementation and scaling. Collaborate with cross-functional teams (technology, data science, operations) and external IT service providers to ensure smooth execution of AI projects. Define clear requirements and KPIs for AI products, ensuring they meet business goals and performance standards. Lead the deployment of AI-driven solutions that have measurable business impact and drive operational efficiencies. Data Structuring & Business Process Transformation : Ensure AI products are developed in a way that optimizes data structuring, enabling the organization to work with high-quality, usable data for decision-making. Work with data teams to ensure that AI solutions are leveraging the right datasets and are aligned with business needs. Key Requirements : Experience : Minimum of 6 years of work experience , with at least 3+ years in AI product delivery or hands-on experience in implementing AI solutions in a business context. Proven track record in leading AI product development in a fast-moving digital-focused organization . Experience working with AI technologies (e.g., machine learning, NLP, computer vision) and delivering AI-driven products that solve real business challenges. Experience working closely with or for AI organizations or leading IT service providers will be strongly preferred. Strong understanding of how AI can be applied to business processes and workflows for optimization and transformation. Preferred candidate profile - With minimum 6 years of AI experince.

Job Title: Lead / Senior/ Data Scientist Experience: 8 to 15 years - Min 5+ Years in Data Science Location: Hyderabad, Hybrid Working hours: 12.00pm to 9.00pm Must Have: Gen AI, ML, Deep Learning, NLP, ML Ops, Data Model Developments and Deployments Key Responsibilities: Provide thought leadership, strategic insight, and clear communication on Data Science and execution for complex problems. Plan, coordinate, and oversee all technical aspects of our AI projects. Ensure that project goals align with the company's objectives and meet the needs of our stakeholders. Design and implement data-driven solutions using Microsoft Azures tools and services, such as Azure Machine Learning, Azure Databricks, Azure Data Factory and Azure databases or Fabric implementation. Ensure these solutions are scalable, reliable, and secure. Develop and implement sophisticated AI models to solve complex business problems. Use these models to generate actionable insights that drive strategic decision-making. Lead a talented team of data scientists working in multiple regions. Foster a collaborative environment that encourages innovation and professional growth. Work closely with cross-functional teams to understand their needs and challenges. Leverage your expertise to provide data-driven AI solutions that address these issues. Leverage large volumes of data from various sources to extract meaningful insights. Present these insights in a clear and concise manner to stakeholders. Drive feedback loop for the models implemented in production using metrics to ensure our whole ML Ops pipeline is effective and continuously refreshed with the right data set and algorithms. Stay updated with the latest trends and advancements in data science, machine learning, GenAI space and cloud computing.

Full stack Developer (Java) Java, SpringBoot, JDBC, myBatis, Maven, RESTful APIs, SQL and ORM technologies (JPA2, Hibernate), and Object-Oriented Programming, Kubernetes, asynchronous programming React JS, TypeScript, Node JS, Appkit, Bootstrap, SurveyJS, AG-Grid, HTML, CSS, JavaScript, and Object-Oriented JavaScript (OOJS), asynchronous programming Azure, Azure Kubernetes, Azure Redis, Meilisearch, Azure SQL Server, Azure Blob GitHub, Azure ADO, Agile, Postman, Gen AI >>>>>>>>>> 1. This is for Permanent employment with Teamware Solutions. Are you fine with this(Y/N): 2. Your project location would be Hyderabad/ Bangalore/ Mumbai/Kolkata . Are you fine with this(Y/N): 3. This position has to work on Shift. Would you be fine? 4. Are you aware that our client has the option of converting you as a full-time employee during this project tenure, but it will be subject to your performance and also our client having a need to add a FTE? 5. Your Current CTC: 6. Your Expected CTC: 7. Total Exp | Rel Exp: 8. Your official notice period: 9. If selected, how fast can you join us (in days): 10. Do you have Notice period Buy out option (Y/N): 11. What would be best DAY & TIME for Telephonic /F2F interview on the weekdays? 12. Currently holding any offer(Y/N): 13. Reason for looking job change: 14. PAN CARD No : 15. Alternate contact number: Share your Relieving letter/ Resignation mail,Form-16,3 months payslips,Aadhar/ Pan card: Your earliest response will be highly appreciated!!!!!! Laya | Executive - Talent Acquisition Teamware Solutions a division of Quantum Leap Consulting Pvt. Ltd M : +91 7842100374 E: laya.t@twsol.com W : www.teamwaresolutions.net

Job Description Software Technologist II You will be part of IGT systems Mobile Surgery. MOS is a leading innovator in image-guided therapy in the Mobile C Arm space. The Software Development Engineer is responsible for executing comprehensive code reviews to uphold coding standards, pinpoint potential bugs, and advocate for best practices in software development, nurturing a culture of continuous improvement and top-tier code quality. The role assists DevOps in software deployment, ensuring personal performance metrics are achieved, while also defining, monitoring, and meeting broader performance and quality benchmarks. The role identifies and rectifies software defects by analyzing logs, reproducing issues, and implementing effective fixes to bolster software reliability and performance. The role develops and maintains detailed technical documentation, encompassing system architecture diagrams, API specifications, and user guides, to facilitate knowledge sharing and support. The role coaches new joiners and exerts influence within team - local lab/product. Your Role: Participates in full software development processes, working with broader autonomy and in pairing mode with other software team members, challenging requirements, design, and quality. Serves as a recognized technical expert in specific areas within the team, leading the creation of software designs and providing guidance on best practices. Takes on moderately complex software development tasks, collaborating with senior team members to deliver high-quality software solutions that meet project requirements. Develops and executes comprehensive test plans, including unit, integration, and system tests, to ensure software reliability, performance, and adherence to specifications. Conducts thorough code reviews to ensure adherence to coding standards, identify potential bugs, and promote best practices in software development, fostering a culture of continuous improvement and high-quality code. Supports DevOps in deploying software, setting, monitoring, and ensuring own performance metrics are met, while also defining, monitoring, and meeting broader performance and quality metrics. Diagnoses and resolves software defects by analyzing logs, reproducing issues, and implementing effective fixes to enhance software reliability and performance. Creates and maintains comprehensive technical documentation, including system architecture diagrams, API specifications, and user guides to facilitate knowledge sharing and support. Keeps abreast of emerging technologies, industry trends, and best practices in software development to continuously improve skill sets and apply innovative solutions. Applies analytical skills to resolve medium complexity requests efficiently, exercising judgment within defined procedures/practices to determine appropriate action. You're the right fit if: Bachelor's degree/ Master's Degree in Computer Science Engineering or Equivalent Overall 6+ years of experience in software design concepts and design patterns Strong programming experience in C++ with windows or VxWorks Exposure to development on C# Experience / knowledge of Gen AI Experience in the system design and implementation of complex, multi-generation, SW products. Proven working experience in global, multidiscipline environment Preferable - Exposure to product / healthcare domain How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. This role is an office-based role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care . #LI-PHILIN

Note - This is onsite job role for - Chennai, Pune, Bangalore, Noida, Gurgaon) Senior LLM Engineer GenAI / ML (Python, Langchain) Full Time Location: India Overall Experience: 7- 12 Years Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: 1+ years of hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Greetings We are looking for GEN AI Developers at Bangalore location Below are the details :- Primary Skill Genai, Langchain, Python, SQL Location –Bangalore Experience – 3 Years to 6 Years Work Mode : Hybrid If anyone interested, kindly come to our Bangalore office directly for Face-to-Face interview. Timings:- 11 AM to 3:30 PM

Location: Belapur, Navi Mumbai Permanent Job Woke Mode: 5 Days office Immediate joiners Skills required: 1. Minimum 2 to 10 years of Experience of GEN AI, Deep Learning, Machine Learning. 2.Expert on Programming Knowledge of Java/Python

Senior Gen AI Engineer (Python, Lang chain) Location: India Experience: 5+years Notice Period: Immediate Employment: Fulltime About the Role As a Senior Gen AI Engineer, you'll take charge of designing, building, and deploying cutting-edge Generative AI / LLM systems. Your hands-on expertise in Python and LLM tools (Lang chain, RAG, prompt engineering, agent workflows) will drive our AI roadmap and translate business needs into scalable solutions. Key Responsibilities Architect and develop Gen AI/LLM-based applications using Lang chain and RAG pipelines. Engineer effective prompt strategies and autonomous agent workflows. Collaborate with engineering, ML/Ops, and domain experts to define and execute the LLM roadmap. Convert product/business requirements into secure, production-grade AI systems. Participate in code reviews, system design discussions, and performance tuning. Required Skills Strong proficiency in Python , Lang chain, SQL , and LLM tooling (prompt tuning, embeddings, vector DBs, agent frameworks). Understanding of LLM architecture and internals. Experience with cloud platforms ( AWS, Azure, or GCP). Solid foundation in machine learning or software engineering; systems-level mindset. Excellent communication, documentation, and stakeholder management skills. Preferred Qualifications 1+ years of hands-on experience with LLM development or Generative AI in production. Exposure to RAG , prompt engineering, and embeddings usage. Experience with ML pipelines, MLOps, and scalable model deployment. Previous involvement in client-facing AI engagements or cross-functional project delivery.