59 Lang Chain Jobs

Role Overview: You will be joining HCL Software as a Lead Python Developer with a focus on Data Science and AI/ML to contribute to the development of AI-driven Marketing Campaigns using the Unica+ Marketing Platform. Your role will involve leveraging your strong Python skills and experience in data science and machine learning to deliver precision and high-performance marketing campaigns across various channels. Key Responsibilities: - Proficient in Python programming with expertise in using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. - Strong understanding of statistical analysis and modeling, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning and preprocessing, handling messy real-world data, dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. - Ability to query and manage data efficiently from relational databases using SQL, with familiarity with NoSQL databases being advantageous. - Skill in exploratory data analysis to visually and numerically explore datasets, identify patterns, anomalies, and relationships. - In-depth knowledge and practical experience with a wide range of machine learning algorithms such as linear models, tree-based models, SVMs, clustering algorithms, and dimensionality reduction techniques. - Proficiency with at least one major deep learning framework like TensorFlow or PyTorch, understanding neural network architectures, and their application to various problems. - Ability to select appropriate evaluation metrics and optimize models, diagnose performance issues, and apply optimization techniques. - Understanding of deployment and MLOps concepts, including deploying machine learning models into production environments, API creation, containerization, version control for models, and monitoring. Qualifications Required: - At least 8-12 years of Python development experience with 4 years in data science and machine learning. - Experience with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce is advantageous. - Experience with AWS SageMaker is advantageous. - Proficiency in integration tools and frameworks like Postman, Swagger, API Gateways. - Knowledge of REST, JSON, XML, SOAP is essential. - Ability to work effectively within an agile team environment and apply related working methods. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Company Details: HCL Software, a product development division of HCL Tech, delivers award-winning software solutions across AI, Automation, Data & Analytics, Security, and Cloud. The Unica+ Marketing Platform enables clients to deliver hyper-personalized marketing campaigns across multiple channels, emphasizing data and AI-first approaches for customer acquisition, product awareness, and retention. Note: The job involves approximately 30% travel and is based in India, with Pune being the preferred location. Compensation includes a base salary plus bonus.,

Mandatory Skills : Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills : GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4 JD: Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies. Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.

• Proficiency with Python (Pandas, NumPy), SQL & Java • Experience with LLMs, Lang Chain, & Generative AI technologies • Familiarity with ML frameworks (TensorFlow, PyTorch) & data engineering tools (Spark, Kafka) • Build ML, NLP & recommender models Required Candidate profile • Understanding of key data engineering concepts like data lakes, columnar formats, ETL tools, & BI tools • ML, NLP, Recommender system, personalization, Segmentation, microservice architecture & API

Job Summary We are seeking a highly skilled and passionate GenAI & Data Science Engineer with 3-5 years of experience in Python development, Generative AI, and Data Science. The ideal candidate will have a strong background in AI agent workflows, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) models. You will play a key role in designing, developing, and deploying cutting-edge AI solutions using frameworks such as Lang Chain, Llama Index, and Hugging Face. This role offers the opportunity to work on transformative AI-driven solutions, leveraging state-of-the-art tools and frameworks to create impactful solutions in real-world applications. Key Responsibilities Design, develop, and deploy AI solutions with a focus on Generative AI and Data Science. Fine-tune Large Language Models (LLM) and implement Retrieval-Augmented Generation (RAG) models. Collaborate with cross-functional teams to integrate AI models into business workflows. Utilize frameworks such as Lang Chain, Llama Index, and Hugging Face to build scalable AI solutions. Participate in end-to-end AI model development, including data preprocessing, model selection, training, evaluation, and deployment. Continuously monitor and optimize the performance of AI models to ensure they meet business requirements. Work with stakeholders to understand AI requirements and contribute to solution design and architecture. Stay up to date with the latest advancements in AI technologies and industry trends. Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. 3-5 years of professional experience in Python development, AI, and Data Science. Proven experience with Generative AI, including fine-tuning LLMs and working with RAG models. Hands-on experience with frameworks like Lang Chain, Llama Index, and Hugging Face. Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP). Experience in AI model deployment and scaling in production environments. Technical Skills Programming: Python, including libraries like TensorFlow, PyTorch, Pandas, NumPy, etc. AI/ML Frameworks: Lang Chain, Llama Index, Hugging Face, etc. Machine Learning Algorithms: Supervised and Unsupervised Learning, NLP, Reinforcement Learning. Data Engineering: Data preprocessing, data wrangling, ETL processes. Databricks experience. Cloud Platforms: AWS, GCP, Azure (experience with AI tools on cloud platforms). Version Control: Git, GitHub, GitLab. Familiarity with containerization tools like Docker and Kubernetes. Soft Skills Strong problem-solving skills and analytical thinking. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Adaptability to evolving technologies and requirements. Strong attention to detail and high quality of work. Time management and ability to meet deadlines. Work Experience 3-5 years of experience working in AI, Data Science, or a related field. Practical experience in working with Generative AI, LLM fine-tuning, and RAG models. Experience with deployment of AI models in cloud environments. Proven track record delivering AI-driven solutions to solve real business problems. Good to Have Experience with other AI tools and frameworks like OpenAI GPT, DeepPavlov, or similar. Exposure to data integration and API development. Knowledge of advanced topics in NLP, such as transformers and attention mechanisms. Experience with building AI-powered applications or chatbots. Compensation & Benefits Salary: Competitive base salary based on experience and skills. Bonus: Annual performance-based bonus. Benefits: Health insurance, paid time off, work-from-home options, and retirement benefits. Learning & Development: Access to AI and Data Science training, conferences, and certifications. Key Performance Indicators (KPIs) & Key Result Areas (KRAs) KPIs Timely delivery of AI projects and solutions. Quality and accuracy of fine-tuned AI models. Successful integration of AI solutions into business workflows. Continuous improvement in AI model performance (accuracy, speed, scalability). Stakeholder satisfaction and feedback on AI-driven solutions. Contribution to knowledge sharing and team collaboration. KRAs AI model development, fine-tuning, and deployment. End-to-end ownership of AI solution delivery. Collaboration with cross-functional teams to define and implement business requirements. Optimization and monitoring of AI solutions in production environments. Contact: [HIDDEN TEXT] Show more Show less

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

Were seeking a visionary Technical Architect with deep expertise in Data Science and Generative AI to lead the design and implementation of cutting-edge AI solutions. This role blends strategic thinking with hands-on technical leadership, enabling transformative innovation across industries. You’ll architect scalable systems, guide cross-functional teams, and shape the future of AI-powered products—from intelligent automation to synthetic data generation and beyond. Key Responsibilities Architect AI Solutions: Design end-to-end architectures for GenAI and data science platforms, including model pipelines, data lakes, and deployment strategies Lead Technical Strategy: Define technical roadmaps for AI/ML initiatives aligned with business goals Model Development Oversight: Guide development of LLMs, transformers, and other generative models using frameworks like PyTorch, TensorFlow, and Hugging Face Data Engineering Collaboration: Partner with data engineers to ensure robust data pipelines, feature stores, and real-time data ingestion MLOps & Deployment: Implement CI/CD pipelines for ML models, containerization (Docker/Kubernetes), and cloud-native deployments (Azure, AWS, GCP) Security & Ethics: Ensure responsible AI practices, model interpretability, and compliance with data privacy regulations Mentorship & Leadership: Coach data scientists, ML engineers, and developers on best practices and emerging technologies Stakeholder Engagement: Translate complex technical concepts into business value for executives and clients Required Skills & Qualifications Proven experience as a Technical Architect or Principal Engineer in AI/ML domains Strong proficiency in Python, SQL, and cloud platforms (Azure preferred) Expertise in GenAI frameworks (e.g., Lang Chain, OpenAI APIs, Retrieval-Augmented Generation) Solid understanding of data science workflows, statistical modeling, and feature engineering Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding techniques Familiarity with prompt engineering, fine-tuning LLMs, and RLHF Excellent communication and leadership skills Bachelor’s or Master’s degree in Computer Science, Data Science, or related field (PhD preferred) Preferred Qualifications Experience with multimodal AI (text, image, audio) Contributions to open-source AI projects or publications Certifications in cloud architecture or AI/ML (e.g., Azure AI Engineer, AWS Machine Learning Specialty)

Hi All, We are hiring of Data Science for MNCs Developer: Exp-5.5+ Years Location- Pan India Notice Period- Immediate Joiner Work Mode- hybrid Interview Mode- Virtual We have two Position:- 1) AIML Engineer 2) Gen AI Engineer 3) Gen AI Engineer (With Azure Cognitive Services) Key Responsibilities: JD- AIML Engineer Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments JD GenAI: Experience with AI and Machine Learning algorithms. Experience with Python framework and any cloud (AWS, Azure). Familiarity with AI platforms and understanding of their capabilities and limitations. Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Ability to design and implement AI models. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. General Skills: Strong problem-solving skills. Excellent communication and teamwork skills. Ability to work in a fast-paced, dynamic environment. Strong project management and organizational skills. Ability to clearly and effectively present complex concepts to non-technical stakeholders. JD GenAI with Azure Cognitive Services:- Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python or .NET for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. If anyone interested please share your update resume on below mail:- Priya.singhal@thehrsolutions.in Regards, priya Singhal

Hi Looking for an immediate joiners gracethangamt@virtusa.com Overall experience on 5+ experience on AI/ML 2+ years of experience developing chatbots or conversational AI applications Strong proficiency with LangChain framework and its ecosystem Experience with LangGraph for building stateful, multi-agent applications Hands-on experience with Azure OpenAI Service and prompt engineering Proficiency in Python Experience with Azure Functions and serverless computing Working knowledge of vector databases and embedding models

The ideal candidate for this role will be responsible for designing, implementing, and maintaining CI/CD pipelines for multi-service deployments. You will manage container orchestration using Azure Kubernetes Service (AKS), which includes Helm charts, service meshes, and ingress routing. Additionally, you will be required to provision and maintain infrastructure using Terraform or Bicep, ensuring a modular and version-controlled architecture. It will be your responsibility to enforce infrastructure cost optimization and security best practices. The role also requires experience in deploying Lang Chain, LLM agents, or Open AI integrations. You should have strong hands-on experience with Azure Cloud, particularly AKS, App Gateway, VNETs, and Private Endpoints. As an Assistant Manager - Azure DevOps Engineer, you will be based in Bangalore and will work in the ITES/BPO/KPO industry. The role demands a Bachelor's degree as a minimum educational requirement. This is a full-time, permanent position. Key Skills: - AZURE DEVOPS ENGINEER If you are interested in this opportunity, please refer to the following details: - Job Code: GO/JC/1021/2025 - Recruiter Name: Ramya V,

You will be joining HCL Software, a Product Development Division of HCL Tech, where we deliver transformative software solutions to clients worldwide. Our focus areas include AI, Automation, Data & Analytics, Security, and Cloud. As a Lead Python Developer (Data Science, AI/ML) with over 8 years of experience, you will play a crucial role in developing AI-driven Marketing Campaigns using the HCL Unica+ Marketing Platform. This platform empowers clients to execute precise and high-performance marketing campaigns across various channels such as social media, AdTech platforms, mobile applications, and websites. To excel in this role, you should possess: - 8-12 years of Python Development Experience with at least 4 years dedicated to data science and machine learning. - Familiarity with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce. - Experience with AWS SageMaker and Lang Chain, RAG for Generative AI would be advantageous. - Proficiency in integration tools like Postman, Swagger, API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to work effectively in an agile team environment. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT. Your responsibilities will include: - Proficient Python Programming & Libraries knowledge, particularly Pandas, NumPy, and Matplotlib/Seaborn. - Strong grasp of Statistical Analysis & Modelling concepts. - Expertise in Data Cleaning & Preprocessing techniques. - Proficiency in SQL & Database Management for efficient data querying. - Skill in Exploratory Data Analysis (EDA) to understand datasets. - In-depth understanding and practical experience with various Machine Learning Algorithms. - Proficiency with major Deep Learning Frameworks like TensorFlow or PyTorch. - Ability to evaluate models and optimize their performance. - Understanding of Deployment & MLOps Concepts for production environments. This role may require approximately 30% travel, and the preferred location is India (Pune). In addition to a competitive base salary, you will be eligible for bonuses based on performance.,

We are looking for a talented Data Scientist with expertise in Python, Gen AI, and Cloud technologies (AWS/Azure) to join our team. As a Data Scientist at our company, you will have the opportunity to utilize your skills and experience to build and deploy AI applications, architect AI solutions using cutting-edge technologies, and lead the development of AI/ML solutions in Azure using Python. With 5-7 years of proven experience in the field, you will be responsible for building and finetuning models to improve performance, creating custom technology solutions when off-the-shelf options are insufficient, and advising the leadership and data science team on best approaches and architectures for complex ML use cases. You will lead by example, taking charge of coding, designing, and ensuring that the team follows best practices and frameworks. In this role, you will also develop end-to-end AI systems with a focus on responsible AI principles, design data pipelines using SQL to extract and transform data from Snowflake for AI model training, and leverage expertise in Natural Language Processing (NLP) and Gen AI to integrate text-based data sources into AI architectures. Collaboration with data scientists and engineers to ensure seamless integration of AI components into existing systems is a key aspect of this position. You will be responsible for continuous communication with key stakeholders to provide updates on the team's progress and ensure alignment with project goals and objectives. Join our team at Reqpedia and be part of a dynamic environment where your expertise and passion for data science can make a real difference.,

The Technical Project Manager position at ADQ Services in Hyderabad, India requires a professional with 8+ years of experience to lead end-to-end project delivery. As an ISO 9001 Certified Data Management Consulting company focusing on AI, ML, and NLP technologies, we aim to drive predictability and transform data into valuable insights for our clients. Our team of experts is dedicated to developing customized solutions and staying at the forefront of technological innovation. In this role, you will lead cross-functional teams to deliver MVPs and prototypes swiftly, translating product vision into technical execution plans. You will leverage modern tools and platforms, evaluate tech stacks for faster delivery, manage sprint planning and product launches, and communicate effectively with stakeholders. The ideal candidate will have a strong technical foundation, experience in leading tech product builds, and be comfortable in agile, startup-like environments. Proficiency in project management tools such as Jira, Notion, Trello, or Linear is essential, along with familiarity with frontend frameworks, APIs, and AI tools. Preferred tools and skills include frontend technologies like React, Vue, and Next.js, AI and Automation tools such as GPT, Lang Chain, and Zapier, backend basics like Node.js and Firebase, DevOps tools like GitHub and Vercel, and project management tools like Notion and Jira. If you have hands-on coding capabilities, even basic or part-time, it would be a bonus. Join us at ADQ Services and be a part of our innovative team driving success through the power of AI and data management.,

The ideal candidate for this role has successfully developed data and analytics solutions, with a strong understanding of best practices in data modeling, data engineering, and AI products. To thrive in this position, you should enjoy working in a highly collaborative, cross-functional team environment. This role offers promising growth opportunities in both technology and management tracks. If you are an experienced Python engineer who excels at solving complex problems, is passionate about technology and coding, and has a knack for building and leading high-performing teams, then this could be the perfect opportunity for you! Key responsibilities include: - Demonstrating 4-10 years of proven experience and proficiency with Python - Possessing expertise in Python and associated libraries, as well as RESTful API development - Developing and designing scalable and efficient GenAI solutions tailored to specific requirements, ensuring robustness, security, and performance - Working on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, infrastructure, and MLOps/GenAIOps - Familiarity with RAG technologies and LLM frameworks, including LLM model registries, APIs, embedding models, and vector databases - Knowledge of cloud platforms (such as AWS), databases, system design, building data pipelines, Git, CI/CD, and Linux is a plus - Experience or hands-on exposure to AI and ML concepts, engineering techniques to optimize GenAI performance, and evaluation and selection of appropriate models and frameworks - Designing and developing components and systems from the ground up using engineering best practices and design patterns - Continuous learning and adaptation to evolving technologies - Strong understanding of object-oriented design concepts, software development processes, and methods - Leading teams, collaborating with business partners or customers, and guiding project direction - Exceptional organizational skills, with the ability to prioritize tasks and keep the team focused on critical features - Leadership qualities and the ability to lead technical and design working sessions - Proven ability to work independently with minimal supervision Verisk, a leading data analytics and technology partner to the global insurance industry for over 50 years, values inclusivity, diversity, and workplace culture. As an equal opportunity employer, Verisk offers a unique and rewarding career opportunity with work flexibility, support, coaching, and training for personal and professional growth. Join a team of 7,000 individuals who relentlessly pursue innovation and help translate big data into impactful ideas for a better future. Verisk Businesses: - Underwriting Solutions: Provides underwriting and rating solutions for assessing and pricing risk - Claims Solutions: Supports end-to-end claims handling with analytic and automation tools - Property Estimating Solutions: Offers property estimation software for efficient workflows - Extreme Event Solutions: Provides risk modeling solutions for resilience to extreme events - Specialty Business Solutions: Delivers an integrated suite of software for insurance and reinsurance business management - Marketing Solutions: Delivers data and insights for improved consumer engagement - Life Insurance Solutions: Offers data insight-driven capabilities for life and annuities policies - Verisk Maplecroft: Provides intelligence on sustainability, resilience, and ESG for societal strength Verisk Analytics is committed to creating a diverse and inclusive workplace. To explore career opportunities at Verisk, visit [Verisk Careers](https://www.verisk.com/company/careers/).,

The role of an Azure DevOps Engineer in Bangalore involves designing, implementing, and maintaining CI/CD pipelines for multi-service deployments. You will be responsible for managing container orchestration using Azure Kubernetes Service (AKS), which includes working with Helm charts, service meshes, and ingress routing. Additionally, you will be tasked with provisioning and maintaining infrastructure using Terraform or Bicep to ensure a modular and version-controlled architecture. It is essential to focus on infrastructure cost optimization and adhere to security best practices in this role. The ideal candidate should have experience in deploying Lang Chain, LLM agents, or Open AI integrations. Strong hands-on experience with Azure Cloud is required, especially in working with AKS, App Gateway, VNETs, and Private Endpoints. As an Azure DevOps Engineer, you will play a crucial role in ensuring the smooth functioning of the ITES/BPO/KPO industry. A bachelor's degree is the minimum educational requirement for this full-time, permanent position. Key Skills: - Azure DevOps Engineer If you are passionate about Azure technologies and have the necessary skills and experience, we encourage you to apply for this exciting opportunity. Job Code: GO/JC/294/2025 Recruiter Name: Ramya V,

You are a skilled Python Developer with expertise in Machine learning and deep learning frameworks. Your primary responsibility will be to handle the entire prompt life cycle, including prompt design, template creation, tuning, and optimization for various GenAI base models. You will design and develop prompts tailored to project requirements and manage stakeholders across business and domains as needed for projects. Your tasks will include evaluating base models, benchmarking performance, implementing prompt guardrails to prevent attacks, developing, deploying, and maintaining auto prompt solutions, and setting minimum design standards for every use case involving prompt engineering. You will also be responsible for training machine learning and deep learning models. As a Python Developer, you will write reusable, testable, and efficient code using Python, design and implement low-latency, high-availability, and performant applications, implement security and data protection measures, integrate data storage solutions and API Gateways, and handle production change deployment and related support. Location: Chennai/Bangalore/Hyderabad Working hours: General Shift Key Skills: Gen AI, LLM, RAG, Lang chain, Mistral, Llama, Vector DB, Azure/GCP/Lambda, Python, Tensorflow, Pytorch, GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox Please note that the job description provided is based on the information available and may be subject to change.,

You are looking for a skilled Python Developer with knowledge of Machine learning and deep learning frameworks to join as a Gen AI Engineer at Wipro Limited. With 4 to 6 years of experience, you will be responsible for the entire prompt life cycle, including prompt design, template creation, tuning, and optimization for various GenAI base models. Your role will involve designing and developing prompts tailored to project requirements, managing stakeholders across business and domains, evaluating base models, and benchmarking performance. You will implement prompt guardrails to prevent attacks and develop, deploy, and maintain auto prompt solutions. Minimum design standards for each use case involving prompt engineering will also be under your purview. In addition, you will train machine learning and deep learning models, write reusable and efficient code using Python, implement low-latency, high-availability applications, ensure security and data protection, integrate data storage solutions and API Gateways, and handle production change deployment and related support. At Wipro, we are reinventing the digital landscape, and we are seeking individuals who are inspired by reinvention and continuous evolution. Join us in building a modern Wipro, a place that empowers you to design your own reinvention and realize your ambitions. We welcome applications from individuals with disabilities. For more information, visit us at www.wipro.com.,

DevsTree IT Services Pvt Ltd is a rapidly growing software solutions company located in Ahmedabad, dedicated to delivering impactful digital experiences and innovative automation solutions for clients globally. Our mission is centered around creating intelligent, scalable, and meaningful solutions by combining software engineering with cutting-edge technologies such as AI/ML, Gen AI, and advanced analytics. As an AI Tech Lead at DevsTree, you will play a crucial role in addressing real-world challenges through the application of AI/ML, Computer Vision, NLP, LLMs, Agentic Workflows, and low-code automation tools like n8n. Your responsibilities will include spearheading AI solution development across diverse business domains, designing state-of-the-art Gen AI applications, guiding a team of engineers, and actively contributing to the codebase. Key Responsibilities: - Architect, design, and implement AI-driven solutions and intelligent workflows utilizing ML, DL, and Gen AI tools. - Lead the complete development lifecycle of Machine Learning/Deep Learning models, from data collection and feature engineering to model deployment and monitoring. - Develop and optimize Large Language Models (LLMs) and integrate them with external business systems through APIs. - Create solutions leveraging Computer Vision, encompassing object detection, image classification, OCR, face recognition, among others. - Implement and scale NLP models for tasks like document understanding, semantic search, summarization, chatbots, and conversational AI. - Design and coordinate Agentic workflows using autonomous agents and low-code tools like n8n for streamlining multi-step business processes. - Keep abreast of the latest trends in Gen AI, multimodal models, and tools like Lang Chain, Llama Index, Haystack, etc. - Utilize ML flow for tracking experiments, versioning models, and ensuring reproducible machine learning pipelines. - Collaborate with cross-functional teams, including Product Managers, Data Engineers, and UI/UX Designers, to define scalable AI-driven features. - Conduct technical reviews, maintain code quality, and provide guidance to junior AI engineers. Required Skills & Qualifications: - Minimum of 7 years of experience in AI/ML, with at least 3+ years in a tech lead or senior engineering position. - Proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, scikit-learn, OpenCV, Hugging Face, SpaCy, etc. - Hands-on experience in developing and deploying models in Computer Vision and NLP domains. - In-depth understanding of LLMs (e.g., GPT, LLa MA, Mistral, Claude) and prompt engineering. - Experience with tools like Lang Chain, Llama Index, Open AI API, Anthropic, or custom model fine-tuning. - Familiarity with n8n for automating data pipelines, AI agent orchestration, or external integrations. - Experience in building autonomous agents or integrating with agentic frameworks like Auto GPT, Baby AGI, or Crew AI is advantageous. - Proficient with MLflow for experiment tracking and model lifecycle management. - Knowledge of cloud platforms (AWS/GCP/Azure), containerization (Docker), and model deployment tools (Fast API, Flask, Streamlit, etc. - Excellent communication and interpersonal skills, with the ability to convey complex AI solutions to technical and non-technical stakeholders. Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields. - Exposure to tools like Kubeflow, Airflow, or Vertex AI is a plus. - Experience in developing AI-powered mobile or web applications. - Understanding of data privacy, model ethics, and explainability in AI systems. This job description is sourced from hirist.tech.,

Job Description: Experience :6 - 9 yrs Role & responsibilities Responsible for building agentic workflows using modern LLM orchestration framework to automate and optimize xomplex business process in the Travel domain. Individual contributor (IC), owning end to end development of intelligent agents and services that power customer experiences, recommendations and backend automation. Design and implement agentic and autonomous workflows using framework such as LangGraph, LangChain and CrewAI. Translate business problems in the Travel domain into intelligent LLM powered workflows. Own at least two AI use case implementation from design to production deployment. Build and expose RESTFul and GraphQL APIs to support internal and external consumers. Develop and maintain robust Python based microservices using FastAPI or Django. Collaborate with product managers, data engineers and backend teams to design seamless AI driven user experience. Deploy and maintain workflow and APIs on AWS with best practices in scalability and security. Nice to have Experience in a Big Data technologies (Hadoop, Terradata, Snowflake, Spark, Redshift, Kafka, etc.) for Data Processing. Experience with data management process on AWS is a huge Plus. AWS certification Hand on experience building applications with LangGraph, LangChain and CrewAI. Experience working with AWS services - Lambda, API Gateway, S3, ECS, DynamoDB Experience and Proven track record of implementing at least two AI / LLM based use cases in production. Strong problem solving skills with the ability to deconstract complex problems into actionable AI workflows Experience building scalable, production-grade APIs using FastAPI or Django Strong command over Python and software engineering best practices Solid understanding of multithreading, IO operations, and scalability patterns in backend systems.

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

• Proficiency with Python (Pandas, NumPy), SQL & Java • Experience with LLMs, Lang Chain, & Generative AI technologies • Familiarity with ML frameworks (TensorFlow, PyTorch) & data engineering tools (Spark, Kafka) • Build ML, NLP & recommender models Required Candidate profile • Understanding of key data engineering concepts like data lakes, columnar formats, ETL tools, & BI tools • ML, NLP, Recommender system, personalization, Segmentation, microservice architecture & API

Position: Fullstack Engineer Experience: 5 8 Years Location: Only local candidates i.e., Bangalore is preferrable for all the positions About the Role We are looking for a highly skilled Fullstack Engineer with hands-on experience in modern web technologies and a strong background in GenAI, AI/ML APIs, and LLM frameworks . The ideal candidate will have practical exposure to leveraging GenAI in day-to-day work whether its building AI-powered applications, integrating AI/ML APIs, or using GenAI tools to write code, generate test cases, or automate documentation . This role offers the opportunity to work on cutting-edge projects at the intersection of fullstack engineering and generative AI, enabling innovation and scalability. Key Responsibilities Design, develop, and deploy end-to-end fullstack applications using Python, Node.js, React.js, Next.js, and TypeScript. Integrate AI/ML APIs, LLM frameworks, and OpenAI APIs into production-grade applications. Implement LangChain and other AI frameworks for intelligent application workflows. Apply GenAI tools in day-to-day development for coding assistance, test automation, and documentation. Collaborate with cross-functional teams to translate requirements into scalable technical solutions. Ensure application performance, scalability, and maintainability. Stay updated on the latest developments in GenAI, AI/ML, and fullstack technologies to bring innovation into projects. Mandatory Skills Proficiency in Python, Node.js, React.js, JavaScript, TypeScript, Next.js . Strong experience with GenAI, AI/ML APIs, and LLM frameworks (OpenAI APIs, LangChain, etc.). Proven track record of using GenAI in day-to-day work : Building applications powered by GenAI. Using GenAI for code generation, testing, or documentation. Strong problem-solving skills with a deep understanding of software engineering best practices. Experience in cloud deployment (AWS/GCP/Azure) is a plus. Qualifications Bachelors/Master’s degree in Computer Science, Engineering, or a related field. 5–8 years of relevant fullstack engineering experience, with at least 1–2 years in GenAI/AI-powered applications .

We empower our people to stay resilient and relevant in a constantly changing world. We are looking for individuals who are always seeking creative ways to grow and learn, individuals who aspire to make a real impact, both now and in the future. If this resonates with you, then you would be a valuable addition to our dynamic international team. As a Graduate Trainee Engineer, you will have the opportunity to contribute significantly by: - Designing, developing, and optimizing NLP-driven AI solutions using cutting-edge models and techniques such as NER, embeddings, and summarization. - Building and operationalizing RAG pipelines and agentic workflows to facilitate intelligent, context-aware applications. - Fine-tuning, prompt-engineering, and deploying LLMs (such as OpenAI, Anthropic, Falcon, LLaMA, etc.) for specific domain use cases. - Collaborating with data scientists, backend developers, and cloud architects to construct scalable AI-first systems. - Evaluating and integrating third-party models/APIs and open-source libraries for generative use cases. - Continuously monitoring and enhancing model performance, latency, and accuracy in production environments. - Implementing observability, performance monitoring, and explainability features in deployed models. - Ensuring that solutions meet enterprise-level criteria for reliability, traceability, and maintainability. To excel in this role, you should possess: - A Master's or Bachelor's degree in Computer Science, Machine Learning, AI, or a related field. - Exposure to AI/ML, with expertise in NLP and Generative AI. - A solid understanding of LLM architectures, fine-tuning methods (such as LoRA, PEFT), embeddings, and vector search. - Previous experience in designing and deploying RAG pipelines and collaborating with multi-step agent architectures. - Proficiency in Python and frameworks like Lang Chain, Transformers (Hugging Face), Llama Index, Smol Agents, etc. - Familiarity with ML observability and explainability tools (e.g., Tru Era, Arize, Why Labs). - Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry. - Hands-on experience in integrating LLM-based agents in production settings. - An understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues). - Familiarity with Lang Graph, function calling, and tools for orchestration in agent-based systems. - Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. - Domain knowledge in Electrification, Energy, or Industrial AI would be advantageous. Join us in Bangalore and be part of a team that is shaping the future of entire cities, countries, and beyond. At Siemens, we are a diverse community of over 312,000 minds working together to build a better tomorrow. We value equality and encourage applications from individuals who reflect the diversity of the communities we serve. Our employment decisions are based on qualifications, merit, and business requirements. Bring your curiosity and creativity to Siemens and be a part of shaping tomorrow with us. Explore more about Siemens careers at www.siemens.com/careers and discover the digital world of Siemens at www.siemens.com/careers/digitalminds.,

You will be working as a Gen AI/ ML Data Scientist at Quadratyx, a global product-centric insight & automation services company. Your role will involve developing machine learning models for recommendation systems and NLP projects to provide actionable insights for product and service optimization. Additionally, you will be responsible for building and maintaining scalable ETL pipelines, optimizing data storage solutions, and ensuring data accuracy for analytics. Your skills in analyzing complex datasets to uncover trends and patterns will be crucial in generating insights that drive strategic decisions and enhance client services. Collaborating with product and service teams to understand data needs and translate them into technical solutions will also be a key aspect of your role. As a Gen AI/ ML Data Scientist, you will report to the Project Manager and work closely with stakeholders to deliver AI & Data Science Enterprise projects. Your technical skills should include proficiency in Python (Pandas, NumPy), SQL, and Java, along with experience in LLMs, Lang Chain, Generative AI technologies, ML frameworks (TensorFlow, PyTorch), and data engineering tools (Spark, Kafka). Strong data analysis skills, the ability to present findings to technical and non-technical stakeholders, and a good understanding of data engineering concepts are essential for this role. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture, and API development will also be beneficial. To qualify for this position, you must have a Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field, along with 4 to 6 years of experience in data science and data engineering. Strong critical thinking abilities, motivation, work ethic, maturity, personal initiative, and excellent oral and written communication skills are required. You should be adaptable to a fast-paced, dynamic work environment and demonstrate the ability to learn new technologies quickly. Quadratyx is an equal opportunity employer, and candidates will not be differentiated based on religion, caste, gender, language, disabilities, or ethnic group. The company reserves the right to place/move any candidate to any location globally, partner location, or customer location in the best interest of Quadratyx business. If you are interested in this opportunity, kindly email your profile to jobs@quadratyx.com.,

You are seeking a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. Your primary responsibility will be to lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Your proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics, and Python/R/SAS is essential. Your role involves partnering with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. You will maintain a broad understanding of pharmaceutical sales, marketing, and operations to develop analytical solutions in these areas. It is crucial to stay current with statistical/mathematical/informatics modeling methodology and justify the methods selected. You will also lead the team independently to implement & deliver complex project assignments and provide strategic leadership to build new capabilities within the group. Additionally, you will contribute to whitepapers and articles at the BU and organization level, develop and deliver formal presentations to senior clients, and possess strong interpersonal communication, teamwork, leadership, and self-management skills. You should bring an insatiable desire to learn, innovate, and challenge yourself for the benefit of patients. Eligibility criteria include a minimum of 4-10 years of experience in data analytics and 2-4 years of relevant experience in Healthcare/Lifesciences/Pharmaceutical domain. Technical skills required for this role include proficiency in Python or R for statistical and machine learning applications, expertise in various techniques like Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. You should be able to build & train neural network architectures and have hands-on experience in NLP & NLG. Knowledge in LLMs and Cloud Platforms like Azure, AWS, GCP is essential. Exposure to big data technologies is a plus. Basic qualifications include a B.Tech/Masters in a quantitative discipline such as Applied Mathematics, Computer Science, Bioinformatics, Statistics, Ops Research, or Econometrics. Your role will involve making the impossible possible in the quest to make life better, bringing Analytics to life, and continuously learning to maximize your impact in the field.,

You are invited to join the dynamic team at HCL Software, a Product Development Division of HCL Tech, where we deliver cutting-edge software solutions catering to the transformative needs of clients worldwide. Our portfolio includes award-winning products in AI, Automation, Data & Analytics, Security, and Cloud domains. One of our flagship products is the HCL Unica+ Marketing Platform, which empowers our clients to execute precise and high-performance marketing campaigns across diverse channels such as social media, AdTech platforms, mobile applications, and websites. The Unica+ Marketing Platform stands out as a Data and AI first platform, enabling our customers to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. If you have a passion for leveraging Data Science and Machine Learning technologies to drive AI-driven Marketing Campaigns, we are looking for a skilled Sr. & Lead Python Developer with over 6 years of experience in this field to join our team. Qualifications & Skills: - A minimum of 6-12 years of Python Development Experience, with at least 4 years focused on data science and machine learning. - Proficiency with Customer Data Platforms (CDP) such as Treasure Data, Epsilon, Tealium, Adobe, and Salesforce is considered advantageous. - Experience with AWS SageMaker is a plus. - Familiarity with Lang Chain, RAG for Generative AI, Integration tools, and frameworks like Postman, Swagger, and API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to collaborate effectively within an agile team setup. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Responsibilities: - Proficient in Python programming, utilizing libraries like Pandas, NumPy, and Matplotlib/Seaborn for data manipulation, numerical operations, and data visualization. - Strong understanding of statistical concepts and modeling techniques, including hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning, preprocessing, and feature engineering to handle real-world data effectively. - Proficient in SQL for database management and querying relational databases. - Skilled in exploratory data analysis to identify patterns and relationships within datasets. - Hands-on experience with various machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch. - Ability to evaluate models, optimize performance, and deploy machine learning solutions in production environments. This role may involve approximately 30% travel, and the preferred location is India, with Pune being the preferred choice. If you are ready to contribute to innovative projects and be rewarded with a competitive base salary and bonus structure, we look forward to meeting you for a face-to-face interview on 2nd August in Hinjewadi, Pune.,