571 Llm Jobs - Page 21

Role & responsibilities #Must have experience in Python programing with Machine learning and LLM (Large Language model). # 4+ years of experience is required. # Can able to join in Immediate to 15 days .

About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives. This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions. As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains. Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects. Lead the architectural design and implementation of complex AI systems. Evaluate and recommend emerging AI technologies and methodologies. Drive the adoption of best practices for AI development, deployment, and maintenance. Contribute to the strategic planning of AI initiatives, aligning them with business goals. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct code reviews and ensure code quality. Identify and address skill gaps within the team. Facilitate knowledge sharing and continuous learning. AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions. Ensure the performance, reliability, and security of AI systems. Drive the development of AI pipelines and infrastructure. Lead the integration of AI models with existing systems and applications. Troubleshoot and resolve complex technical issues. Research & Innovation: Stay abreast of the latest advancements in AI and machine learning. Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI. Drive research and development efforts to explore new AI technologies. Evaluate and prototype new AI solutions. Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Communicate complex technical concepts to both technical and non-technical audiences. Provide technical presentations and demonstrations. Document technical designs, code, and processes. Required Skills and Qualifications: Education: Batchelors or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects. Extensive experience in designing and implementing scalable AI systems. Proven experience in leading and mentoring technical teams. Deep understanding of machine learning and deep learning algorithms and architectures. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of AI infrastructure and deployment strategies. Experience with MLOps best practices. Experience with vector databases, and LLM implementations. Proficiency in software development principles and best practices. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Soft Skills: Exceptional leadership and communication skills. Strong problem-solving and analytical skills. Ability to think strategically and drive innovation. Excellent interpersonal and collaboration skills. Strong presentation skills. Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation). Experience with natural language processing (NLP) or computer vision. Contributions to open-source AI projects. Experience with distributed systems and big data technologies. Experience with prompt engineering. Location : - Remote

What youll be doing... In this role as a Sr Engr in the Tech Strategy & Planning team for TSGI-Cloud and Enterprise Architecture team, you'll be managing multiple programs designed to help GTS move towards its strategic objectives. You will be a key contributor in planning and building Data, Platforms and Emerging Technology North star, and ensuring the smooth and successful execution of initiatives by coordinating with cross-functional teams. Your expertise will help us solve complex problems and find unique solutions to optimize the technology landscape of our organization. Your responsibilities include but are not limited to: Technology Road-mapping: Develop and maintain a technology roadmap that aligns with the organization's strategic goals and evolving industry trends. Strategic Planning: Collaborate with leadership to identify opportunities where technology can be a competitive advantage and contribute to the development of the company's overall strategic plan. Innovation and Research: Stay updated on emerging technologies, assess their relevance to the business, and propose innovative solutions. Vendor and Partner Management: Evaluate and manage relationships with technology vendors and partners to ensure they support the organization's strategic objectives. Evaluate the Gen AI tools in partnership with AI&D team Develop scalable prototypes of LLM and NLP Modules and systems which are critical to the companys product lines. Apply state-of-the-art LLM techniques to understand a large amount of unstructured data and translate them to a meaningful and structured data Design, develop and evaluate predictive LLM models that are on par with industry standards & define metrics that measure success and customer value delivery Work closely with process experts to analyze and design solutions based on business requirements. What were looking for... Youre analytical and great at quickly grasping challenging concepts. As a strong written and verbal communicator, you deliver complex messages vividly to technical and business audiences alike. Youre no stranger to a fast-paced environment and tight deadlines, and you adapt to changing priorities and balance multiple projects with ease. You take pride in your work and get a lot of satisfaction from meeting and exceeding the expectations of your customers Youll need to have: Bachelors degree or four or more years of experience. Minimum 6 years of experience in one or more of Data Science, LLM, Gen AI Established experience delivering information management solutions to large numbers of end users Experience in building LLM solutions to business problems across support, sales, digital, chat, voice etc., Familiarity with Gen AI Models (OpenAI, Gemini AI, Vertex.AI, Mistral, LlaMa, etc.,) and finetune based on domain specific needs Experience in text processing, Vector databases and embedding models Experience in NLP, Transformers and Neural Networks Hands-on experience in using Langchain and good exposure to LLMOps Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics and ML Research, recommend and implement best practices of LLM and NLP systems that can scale Identify new process opportunities, while quickly assessing feasibility Excellent written and verbal communication skills able to effectively communicate technical details to a non-technical audience as well as produce clear and concise written documentation Even better if you have one or more of the following: Familiarity with Graph DB Concepts Familiarity with one or more Data Platforms - CloudEra, Snowflake, DataBricks etc. Experience in one or more Big data and ETL technologies - Informatica, Talend, Teradata, Hadoop etc. Experience in one or more BI platforms - Tableau, Looker, Thoughtspot etc. Masters degree from an accredited college or university preferred.

Hello, Urgent job openings for Data Science @ GlobalData(Hyd). Looking for candidates with experience in Gen AI, LLM, RAG frameworks Job Description given below please go through to understand requirement. if requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science(Gen AI/LLM)@ GlobalData(Hyd) Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Current Location/willing to relocate to Hyd? : Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081. Position Title: Data Scientist Location: Hyderabad, India Company Overview GlobalData is a leading Data & Analytics company, helping thousands of companies, government organizations, and industry professionals make faster, more informed decisions. Our mission is to help our clients decode the future, ensuring they stay ahead of the competition through innovative and actionable intelligence. We leverage unique data, expert analysis, and cutting-edge technology to provide a platform with unrivalled capabilities. Our solutions span multiple industries, with a strong focus on Artificial Intelligence, Generative AI, and Advanced Data Science applications to drive insights and decision-making. Know more about us: https://www.globaldata.com/ Follow us on LinkedIn: https://www.linkedin.com/company/gd-research-center-pvt-ltd Roles and Responsibilities :- As a Data Scientist in the Financial Markets team, you will be responsible for developing cutting-edge AI-driven models and insights for financial markets clients such as Hedge Funds, Private Equity firms, Investment Banks, and Asset Managers. The models you build will leverage both traditional and alternative data sources, to enhance investment strategies. You will work closely with experts in financial markets to:- Develop and deploy AI-driven analytics utilizing proprietary GlobalData datasets to extract actionable insights. Design, fine-tune, and deploy Generative AI models (LLMs, diffusion models, AI agents) for financial market analysis, report generation, and predictive modeling. Implement Retrieval-Augmented Generation (RAG) frameworks to enhance financial document processing and knowledge extraction. Create AI-powered financial agents for automated decision-making and real-time analysis Build and optimize machine learning models for forecasting, scorecards, and predictive analytics. Conduct research on state-of-the-art Generative AI and machine learning techniques, integrating them into financial modelling use cases. Analyze alternative datasets, including textual, sentiment, and transactional data, to generate high-value investment insights. Present findings and Proof-of-Concept (PoC) solutions to senior management, stakeholders, and cross-functional teams. Develop technical documentation and presentation decks to showcase methodologies and outcomes. Job Qualifications Academic Qualification: Bachelor's/Masters degree in Data Science, Computer Science, AI, or a related field. Strong expertise in machine learning and artificial intelligence, particularly in Generative AI applications, NLP, and predictive modelling. Hands-on experience with Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, or open-source alternatives (Llama, Mistral, Qwen, etc.). Experience in fine-tuning models, prompt engineering, and AI-driven automation. Proficiency in Retrieval-Augmented Generation (RAG) techniques for information retrieval and knowledge-based AI applications. Solid understanding of traditional analytics techniques, including data modeling, forecasting, and risk scorecards. Proficiency in Python, TensorFlow/PyTorch, LangChain, and Vector Databases. Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Familiarity with financial markets is preferred but not essential. Ability to translate research into scalable AI-driven financial solutions. Employment Type: Full-time Location: Hyderabad, India Join us at GlobalData and be at the forefront of AI-powered financial analytics! Thanks & Regards, Salim (Human Resources)

Key Responsibilities: Build and optimize ML-based product pipelines and data-driven solutions Develop custom data models and algorithms to drive business insights Handle the deployment of ML models with awareness of optimized server configurations Enhance data collection and processing procedures to improve model performance Perform data mining and cleansing using state-of-the-art methods Conduct ad-hoc analysis and present insights in a clear, actionable manner Assess the accuracy and effectiveness of new data sources and techniques Collaborate with cross-functional teams to implement models and monitor outcomes Develop tools and processes to monitor model performance and data accuracy Build scalable pipelines using Large Language Models (LLMs) Fine-tune models like T5, LLaMA, and YOLO for specific use cases Requirements: 3+ years of experience in data science, machine learning, and analytics Proficiency in Python and statistical computing languages Strong expertise in ML model deployment and product platform architecture Expertise in fundamental data science, machine learning, and deep learning using Python Sound knowledge of NLP and Computer Vision Experience in building scalable AI applications with a good understanding of High-Level Design (HLD) Strong grasp of data structures and algorithms Experience with Retrieval-Augmented Generation (RAG) and Agentic workflows Experience in cloud platforms, preferably AWS (Redshift, S3, Lambda) Experience with Elasticsearch, SQL, and REST APIs Hands-on experience with big data tools such as Hadoop, Spark, and Hive Deep understanding of machine learning algorithms (regression, clustering, decision trees, neural networks, etc.) Strong problem-solving skills and the ability to translate data insights into business impact Excellent communication and collaboration skills to work across teams

Infosys Generative AI Developer – India Position Overview: The Generative AI Developer is responsible for designing and developing Gen AI based solutions across different modal. This role involves leveraging the tools, frameworks and models, fine tuning of model, testing and deployment of the Gen AI solution. Key Responsibilities: Understand the architecture and design of Gen AI solutions, including data ingestion, processing, modeling, and deployment. Evaluate the framework, tools and models for building the solution Build and test Gen AI component/solution, POCs using framework and tools like Langchain, Llama Index, RAGAs etc. Experience in Prompt Engineering techniques, databases including SQL, Vector and Graph DB. Collaborate with cross-functional teams to understand requirements and develop AI / Gen AI solutions. Deployment of the AI/Gen AI solutions on different environment using AIOPs pipelines. Knowledge of Responsible AI principles and ways to implement it in solution, testing the solution against the defined principles. Experience in fine tuning the open-source model using various tuning techniques. Requires Skills: Strong programming skills in languages such as Python, and proficiency in LLM, RAG, Prompt Engineering, Fine Tuning, Vector DB, Embeddings, GPT 3.5, GPT 4, Open AI, Gemini, Zero shot, One shot and Few shot prompting, ReAct Prompting, Chain Of Thought. Excellent analytical and problem-solving skills. Strong communication skills to collaborate with cross-functional teams. Preferred Skills: Experience with natural language processing (NLP) for text generation projects. Familiarity with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of ethical AI practices and considerations.

What You'll Do: Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale. Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn. Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS. Collaborate with data engineering teams to ensure seamless integration of AI models into production systems. Perform advanced SQL analytics to extract actionable insights from structured datasets. Stay up-to-date with the latest advancements in NLP and machine learning techniques. Mentor junior data scientists and foster a culture of technical excellence within the team. Communicate complex technical concepts to non-technical stakeholders and customers. Partner with customers to understand their needs and translate them into technical solutions. What Were Looking For: Minimum 5 years of experience in data science, with a focus on NLP and unstructured data processing. Proven track record of launching NLP-driven products to live users. Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn. Experience with Transformer-based models (e.g., BERT, GPT). Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products. Familiarity with data engineering pipelines and best practices. Proficiency in SQL for analytics and data manipulation. Excellent problem-solving skills and ability to work with large-scale datasets. Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively. Preferred Skills: Knowledge of MLOps practices for model deployment and monitoring. Familiarity with tools like Airflow, Spark, or similar data processing frameworks. Background in working with customer-facing applications and APIs.

Primary Skills (Mandatory): Artificial Intelligence Machine Learning Proficiency in programming languages: Java, C, Python, R, or equivalent Secondary Skills (Good to have): Experience with Generative AI models and frameworks such as Open Ai's GPT family of models, open-source LLMs, and Lang Chain Must Have Bachelors degree in data science statistics mathematics computer science or engineering discipline or equivalent experience 3 years of work educational experience leading development of Machine Learning prompt engineering data analysis and Artificial Intelligence 1 years of experience with product on grade design deployment and implementation of AI models and systems contributing fresh ideas and approaches to the teams efforts Experience with one or more general purpose programming languages including but not limited to Java CC Python R or equivalent Experience and knowledge in designing building and deploying multi layered application Infrastructure involving On-premises AWS Cloud platform using services Bedrock LLM models You enjoy working with people and can put yourself in other peoples shoes You're not afraid to ask for help when you need it or help teammates when they need a boost Embraces diverse people thinking and styles Consistently makes safety and security of self and others the priority Experience with one or more of the following Natural Language Processing sentiment analysis classification pattern recognition Consistently makes safety and security of self and others the priority If interested, please apply on below link/share resume on hr@awone.ai with below details: Total Experience: Current CTC: Expected CTC: Current Location: Preferred Location:

Position Overview As the newest addition to our existing Data Science team, you will combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products More towards the role required Key Responsibilities Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Required skills Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. Additional skills (Good to have) Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*Net NR

Location: Remote / Pan India , Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Notice Period: Immediate iSource Services is hiring for one of their client for the position of AI/ML Engineer. About the Role - We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG Systems, and practical product development experience. Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems. Utilize LLMCompiler to create efficient and scalable models and leverage LLM as Judge for decision making processes. Develop and optimize Multi-modal RAG systems, integrating diverse data modalities for advanced retrieval-augmented generation. Implement and maintain GraphRAG solutions for enhanced reasoning and contextual information retrieval. Collaborate with cross-functional teams to translate cutting-edge AI research into production-ready solutions. Contribute to the development of scalable and robust AI-powered products. Requirements: Strong knowledge of Agentic Design Patterns (ReAct, ReWoo). Proficiency in LLMCompiler and LLM as Judge methodologies. Experience building Multi-modal RAG and GraphRAG systems. 5+ years of experience in AI/ML development, including practical product development experience. Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and large language models (LLMs). Strong problem-solving and analytical skills with a focus on innovation. Preferred Skills: Familiarity with distributed systems and cloud platforms. Experience in data engineering and model optimization. Knowledge of graph databases and advanced information retrieval techniques. ML/AI development, Python Agentic Design Patterns (ReAct, ReWoo). LLMCompiler, LLM as judge. ML models, ML frameworks.

Joining Capco means joining an organisation that is committed to an inclusive working environment where youre encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can. We believe that everyone brings something different to the table – so we’d love to know what makes you different. We are/have: Experts in banking and payments, capital markets and wealth and asset management Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture Machine Learning Engineer Responsibilities: We are particularly interested in the following key skills sets. PySpark (Optimization the code) – To be proficient in py-spark optimization a candidate should be familiar with serval key techniques and best practice. Efficient Data Handling - Expertise in using efficient file formats like Parquet and ORC. - Ability to partition and optimize data storage Python Proficiency – Strong Understanding of Python- Proficiency in Python programming, including object-oriented programming, data structures, and standard libraries. Experience with Data Processing Libraries:- Hands-on experience with libraries such as Pandas, NumPy, and SQLAlchemy. Core Concept Understanding of Machine Learning Algorithms Candidate having 5-8 year of Experience. Additional Skills Problem-Solving Abilities:- Strong analytical and problem-solving skills to diagnose performance issues and implement optimization strategies. Communication Skills:- Effective communication skills to collaborate with cross-functional teams and articulate technical solutions. This combination of Python proficiency, PySpark optimization skills, and relevant experience will ensure that the candidate can effectively optimize and manage large-scale data processing tasks.

Cyber Security Engineer (LLM, Ruby on Rails) Experience: 5 - 6 Years Salary: USD 41,600-52,000 / year Preferred Notice Period : within 15 days Shift : 3:00 PM to 12:00 AM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Partners) What do you need for this opportunity? Must have skills required : CyberSecurity, LLM, JavaScript, Ruby On Rails, SQL Good to have skills : Application Security & Secure Coding Our Hiring Partner is Looking for: Cyber Security Engineer who is passionate about their work, eager to learn and grow, and committed to delivering exceptional results. If you are a team player with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Company Headquartered in Palo Alto, California, the company is the world's first AI-powered tech services organization. It has revolutionized the tech services industry by integrating AI into every aspect of its operations, offering AI-vetted and matched talent, AI-driven development acceleration, and access to AI transformation experts who have played pivotal roles in building some of Silicon Valley's most iconic companies. Since its founding in 2018, the company has achieved remarkable growth, boasting a Talent Cloud of over three million developers worldwide and serving 900+ clients. Its innovative approach and impactful contributions have earned it numerous accolades, including being named one of "America's Best Startup Employers" by Forbes in 2022, securing the top spot in The Information's 2021 Annual List of most promising B2B companies, and being featured in Fast Company's "World's Most Innovative Companies" list. The company's leadership team is a blend of top-tier AI technologists from organizations like Meta, Google, Microsoft, Apple, Amazon, and Twitter, alongside seasoned consultants from prestigious firms such as Accenture, Cognizant, Capgemini, McKinsey, and Bain, as well as alumni from renowned institutions like Stanford, Caltech, and MIT. About the Role We are a forward-thinking organization developing cutting-edge solutions at the intersection of cybersecurity, AI, and software engineering. Our mission is to foster secure, scalable, and efficient software architectures that leverage advanced AI and data-driven insights. Join our diverse team to help shape the future of AI-integrated development across multiple job domains. Programming Language Requirements We require proficiency in at least two of the below-listed languages: Python (object-oriented principles, frameworks like Flask, Django, FastAPI) and SQL (query optimization, database design, and handling relational databases) HTML/CSS (front-end work) JavaScript (front-end or full-stack) C++/C# (systems-level or enterprise apps) Java (backend services or Android development) Ruby on Rails + Cybersecurity Fundamental Requirements Cybersecurity Best Practices: Familiarity with OWASP Top 10, secure coding, and compliance standards. Clean Code & Testing: Strong code organization, adherence to testing methodologies, and ability to break down complex tasks. Prompt Engineering & GenAI Tools: Comfortable with ChatGPT or similar tools to accelerate development, aware of AI biases and pitfalls. Problem-Solving & Algorithmic Thinking: Proficiency in diagnosing issues, optimizing solutions, and refining system architecture. Preferred Expertise Application Security & Secure Coding Machine Learning for Cybersecurity Software Development & Code Analysis Ideal Candidate Profiles Cybersecurity Researcher / AI Security Engineer Application Security Engineer with AI/ML Exposure Machine Learning Engineer with a Cybersecurity Background Offer Details Position Type: Long-term contractor roles Work Hours: Full-time (40 hours/week) with a required 5-hour overlap with PST (Pacific Standard Time) Compensation: Competitive and based on experience/expertise Benefits: No medical/paid leave (contractor status) Why Join Us? Shape the future of AI-integrated development and cybersecurity in a cutting-edge environment. Collaborate with a diverse team of experts on challenging, high-impact projects. Enjoy a flexible, remote-friendly work culture that values continuous learning and innovation. How to apply for this opportunity Register or log in on our portal Click 'Apply,' upload your resume, and fill in the required details. Post this, click 'Apply Now' to submit your application. Get matched and crack a quick interview with our hiring partner. Land your global dream job and get your exciting career started! About Our Hiring Partner: The company is at the forefront of AGI infrastructure, solving the human intelligence bottleneck and empowering enterprises to harness the power of generative AItransforming complex data into actionable insights. From custom AI products to end-to-end deployment, our solutions and experts are dedicated to driving innovation and efficiency. Trusted by 1000+ companies including OpenAI, Google, and Meta. Join us in the AGI era and accelerate how businesses operate. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. ( Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Cyber Security Engineer (LLM, C#) Experience: 5 - 6 Years Salary: USD 41,600-52,000 / year Preferred Notice Period : within 15 days Shift : 3:00 PM to 12:00 AM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Partners) What do you need for this opportunity? Must have skills required : CyberSecurity, LLM, C#, C++, SQL Good to have skills : Application Security & Secure Coding Our Hiring Partner is Looking for: Cyber Security Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Company Headquartered in Palo Alto, California, the company is the world's first AI-powered tech services organization. It has revolutionized the tech services industry by integrating AI into every aspect of its operations, offering AI-vetted and matched talent, AI-driven development acceleration, and access to AI transformation experts who have played pivotal roles in building some of Silicon Valley's most iconic companies. Since its founding in 2018, the company has achieved remarkable growth, boasting a Talent Cloud of over three million developers worldwide and serving 900+ clients. Its innovative approach and impactful contributions have earned it numerous accolades, including being named one of "America's Best Startup Employers" by Forbes in 2022, securing the top spot in The Information's 2021 Annual List of most promising B2B companies, and being featured in Fast Company's "World's Most Innovative Companies" list. The company's leadership team is a blend of top-tier AI technologists from organizations like Meta, Google, Microsoft, Apple, Amazon, and Twitter, alongside seasoned consultants from prestigious firms such as Accenture, Cognizant, Capgemini, McKinsey, and Bain, as well as alumni from renowned institutions like Stanford, Caltech, and MIT. About the Role We are a forward-thinking organization developing cutting-edge solutions at the intersection of cybersecurity, AI, and software engineering. Our mission is to foster secure, scalable, and efficient software architectures that leverage advanced AI and data-driven insights. Join our diverse team to help shape the future of AI-integrated development across multiple job domains. Programming Language Requirements We require proficiency in at least two of the below-listed languages: Python (object-oriented principles, frameworks like Flask, Django, FastAPI) and SQL (query optimization, database design, and handling relational databases) HTML/CSS (front-end work) JavaScript (front-end or full-stack) C++/C# (systems-level or enterprise apps) Java (backend services or Android development) Ruby on Rails + Cybersecurity Fundamental Requirements Cybersecurity Best Practices: Familiarity with OWASP Top 10, secure coding, and compliance standards. Clean Code & Testing: Strong code organization, adherence to testing methodologies, and ability to break down complex tasks. Prompt Engineering & GenAI Tools: Comfortable with ChatGPT or similar tools to accelerate development, aware of AI biases and pitfalls. Problem-Solving & Algorithmic Thinking: Proficiency in diagnosing issues, optimizing solutions, and refining system architecture. Preferred Expertise Application Security & Secure Coding Machine Learning for Cybersecurity Software Development & Code Analysis Ideal Candidate Profiles Cybersecurity Researcher / AI Security Engineer Application Security Engineer with AI/ML Exposure Machine Learning Engineer with a Cybersecurity Background Offer Details Position Type: Long-term contractor roles Work Hours: Full-time (40 hours/week) with a required 5-hour overlap with PST (Pacific Standard Time) Compensation: Competitive and based on experience/expertise Benefits: No medical/paid leave (contractor status) Why Join Us? Shape the future of AI-integrated development and cybersecurity in a cutting-edge environment. Collaborate with a diverse team of experts on challenging, high-impact projects. Enjoy a flexible, remote-friendly work culture that values continuous learning and innovation. How to apply for this opportunity Register or log in on our portal. Click 'Apply,' upload your resume, and fill in the required details. Post this, click 'Apply Now' to submit your application. Get matched and crack a quick interview with our hiring partner. Land your global dream job and get your exciting career started! About Our Hiring Partner: The company is at the forefront of AGI infrastructure, solving the human intelligence bottleneck and empowering enterprises to harness the power of generative AItransforming complex data into actionable insights. From custom AI products to end-to-end deployment, our solutions and experts are dedicated to driving innovation and efficiency. Trusted by 1000+ companies including OpenAI, Google, and Meta. Join us in the AGI era and accelerate how businesses operate. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. ( Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role & responsibilities - Design and develop and deploy algorithms for generative models using deep learning techniques for given business problem. - Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. - Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies. - Optimize and fine-tune generative models for performance and efficiency. - Troubleshoot and resolve issues related to generative AI models and implementations - Create and maintain documentation for generative AI models and their applications. - Communicate complex technical concepts and findings to non-technical stakeholders. Education & Skills: Should have masters in data science/machine learning and proven experience of generative AI algorithm development (TensorFlow, PyTorch, OpenAI/Hugging Face Models) Machine learning, Statistics, Python, PySpark, SQL, Cloud Computing, AWS/Azure, Databricks is a plus

About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives. This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions. As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains. Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects. Lead the architectural design and implementation of complex AI systems. Evaluate and recommend emerging AI technologies and methodologies. Drive the adoption of best practices for AI development, deployment, and maintenance. Contribute to the strategic planning of AI initiatives, aligning them with business goals. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct code reviews and ensure code quality. Identify and address skill gaps within the team. Facilitate knowledge sharing and continuous learning. AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions. Ensure the performance, reliability, and security of AI systems. Drive the development of AI pipelines and infrastructure. Lead the integration of AI models with existing systems and applications. Troubleshoot and resolve complex technical issues. Research & Innovation: Stay abreast of the latest advancements in AI and machine learning. Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI. Drive research and development efforts to explore new AI technologies. Evaluate and prototype new AI solutions. Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Communicate complex technical concepts to both technical and non-technical audiences. Provide technical presentations and demonstrations. Document technical designs, code, and processes. Required Skills and Qualifications: Education : Batchelors or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects. Extensive experience in designing and implementing scalable AI systems. Proven experience in leading and mentoring technical teams. Deep understanding of machine learning and deep learning algorithms and architectures. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of AI infrastructure and deployment strategies. Experience with MLOps best practices. Experience with vector databases, and LLM implementations. Proficiency in software development principles and best practices. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Soft Skills: Exceptional leadership and communication skills. Strong problem-solving and analytical skills. Ability to think strategically and drive innovation. Excellent interpersonal and collaboration skills. Strong presentation skills. Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation). Experience with natural language processing (NLP) or computer vision. Contributions to open-source AI projects. Experience with distributed systems and big data technologies. Experience with prompt engineering. 8+ years of experience in AI/ML development Location : - Remote

1. Looking for an AI/ML engineer, preferably 5+ years of overall experience with at least 3+ years of relevant experience in developing, deploying, monitoring and evolving AI based solutions. 2. Should have demonstrated ownership in entire AI/ML project lifecycle, from conceptualization to deployment and maintenance of AI applications. 3. Should be a hands-on Python developer, writing efficient clean code, with experience in concurrent programming as well as designing scalable systems 4. Should have extensive hands-on experience in: a) custom AI model development (including selection of appropriate Pre-trained models if any, hyper-parameter optimization and fine-tuning) b) evaluation of models using the relevant metrics - should be able to justify choice of metrics over others depending on the use cases c) ML Ops for deploying, maintaining & monitoring d) continuous improvement of models based on feedback loops -Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Should be able to work as a team player with other developers, designers and product managers - Should be well versed with recent AI research & trends, and adept at discovering and leveraging state-of-the-art open source models/libraries for various use cases BFSI experience could be an added advantage but open to all Role: Machine Learning Engineer Industry Type: Information Technology Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Key Skills Python machine learning artificial intelligence product management AI/Ml SQL Data science

About the role: We are looking for an AI Technical Analyst with a strong development background and a passion for testing AI-driven applications. This is not a traditional QA role need someone who understands automation testing, software development principles, and Gen AI concepts. You will work in a telecom-focused environment, testing AI-driven solutions, ensuring quality, reliability, and performance of applications leveraging LLMs, transformers, and other AI models. If you're an analytical thinker, a problem solver, and a fast learner who thrives in a cutting-edge AI space, this role is for you! Responsibilities: Design, develop, and execute automated test cases for AI-powered applications, ensuring high-quality releases. Develop and maintain test frameworks for AI/ML-driven software components, including LLMs. Validate AI models' outputs by defining and executing test strategies for accuracy, consistency, and fairness. Collaborate with developers and data scientists to identify edge cases, biases, and failure modes in AI models. Evaluate AI-driven workflows within telecom applications, ensuring compliance with functional and performance benchmarks. Continuously improve testing methodologies for AI/LLM applications, incorporating best practices in automation and validation. Document test results and provide feedback to enhance AI models' robustness and reliability. Requirements: 3-5 years of experience in QA automation, software testing, or software development. Hands-on programming experience with Python, Java, or JavaScript. Strong experience in test automation (e.g., Selenium, Playwright, Cypress, or similar). Understanding of AI/ML concepts, particularly LLMs, transformers, and Gen AI. Familiarity with API testing (Postman, REST Assured, etc.) and CI/CD pipelines. Strong analytical skills and problem-solving mindset. Quick learner who can adapt to evolving AI technologies. Experience with cloud platforms (AWS, GCP, Azure) is a plus. Preferred Qualifications Exposure to testing AI models (e.g., prompt engineering, model evaluation). Familiarity with AI-powered test automation tools. Experience working in the telecom sector (not required but a bonus). Knowledge of AI ethics and bias testing.

Job Description Cloud Architect Saama Technologies Key Responsibilities: Design and implement a robust and scalable cloud infrastructure to support the Graph RAG system. Optimize cloud resource utilization to achieve high performance while maintaining cost efficiency. Ensure adherence to security best practices and data governance compliance across the cloud environment. Select and implement appropriate Graph Database (e.g., Neo4j, AWS Neptune) and Vector Database (e.g., Weaviate, Pinecone, FAISS) solutions to meet scalability and efficiency requirements. Automate the provisioning and management of cloud infrastructure using Infrastructure as Code (IaC) tools. Required Skills: In-depth expertise in major cloud platforms (AWS, Azure, GCP). Strong knowledge of Graph Databases (Neo4j, AWS Neptune) and Vector Databases (Weaviate, Pinecone, FAISS). Extensive experience in designing and implementing cloud networking, security, and identity management solutions. Proficiency in containerization technologies (Docker) and container orchestration (Kubernetes). Strong knowledge of IaC tools (Terraform, CloudFormation). Deep understanding of DevOps principles and CI/CD practices. Additional Desired Skills: Experience with cloud cost optimization strategies. Familiarity with data security and compliance frameworks. Knowledge of cloud-native architectures and microservices. Experience with monitoring and logging tools for cloud environments.

1. End-to-End ML Solutions: Take full ownership of developing end-to-end machine learning solutions within the geospatial domain, focusing on image data, point cloud data, geophysical data, geological data, and related datasets, within the GIS context and ensuring alignment with customer needs and company objectives. 2. Technical Collaboration: Collaborate closely with development teams, translating geospatial requirements into technical specifications for seamless integration with the product. 3. Data Preprocessing: Develop and refine preprocessing pipelines for input data, ensuring data quality and normalization. 4. Continuous Learning: Stay updated on the latest advancements in machine learning and GIS technology, actively participating in training programs and self-directed learning. 5. Documentation and Reporting: Document progress, methodologies, and outcomes for knowledge transfer and future reference. 1+ years of hands-on experience in machine learning engineering or related technical roles. Proven ability to engage with technical teams, translating geospatial requirements into machine learning specifications. 7. Strong background in algorithm development, model training, and deployment. Experience with GIS related data is a plus. Expertise in Python and machine learning frameworks (e.g., TensorFlow, PyTorch). 8. Solid understanding of image analysis, and point cloud processing. Excellent analytical and problem-solving skills, with a data-driven decision-making approach. Effective verbal and written communication skills, capable of conveying complex technical concepts clearly. 9. Demonstrated ability to work collaboratively with cross-functional teams, including development, design, and marketing. Comfortable working in a fast-paced environment, adaptable to changing technical priorities and requirements

Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Data bricks & Python programming. Building backend applications (data processing etc.) using Python and Deep learning frame works. Deploying models and building APIS (FAST API, FLASK API) Need to have experience working with GPUS. Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc. Good to have: Knowledge and experience in Kubernetes, docker etc. Cloud Experience working with VMS and azure storage. Sound data engineering experience.

Job purpose We are seeking a highly skilled and dynamic AI/ML Engineer with a robust skill set in Generative AI, machine learning, and expertise in programming languages such as Python and Go. The ideal candidate will have a deep understanding of SAP BTP, including hands-on experience with SAP BTP AI Core, AI Launchpad services, and the GenAI Hub. The role requires a professional who is adept at prompt engineering and has experience in developing large language models (LLMs). Experience with SAP BTP AI Business services is add-on to drive innovation and implement AI solutions that align with business objectives Key Responsibilities Utilize SAP BTP AI Core and AI Launchpad services to deploy and manage AI solutions. Collaborate with cross-functional teams to integrate AI/ML solutions into SAP BTP environments. Design and implement AI/ML models, with a focus on generative AI techniques and large language models. Develop and maintain scalable and robust applications using Python and Go programming languages. Engage in prompt engineering to fine-tune LLMs for specific use cases and ensure optimal performance. Stay abreast of the latest advancements in AI/ML and SAP BTP to continuously improve our offerings. Provide technical expertise and support for SAP BTP AI Business services to enhance business processes. Document and present AI/ML project results to stakeholders and provide actionable insights Qualification Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 2-5 years of experience in AI/ML, with a focus on generative AI and LLM development. Solid understanding of SAP BTP, including experience with SAP BTP AI Core, AI Launchpad services, and GenAI Hub. Proficiency in Python and Go programming languages. Familiarity with SAP BTP AI Business services and their application in enterprise settings. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Self-motivated with a passion for AI innovation and a drive to deliver results.

About the Role We are looking for an AI Lead for our team of Data Scientists in Pune. This role will focus on leading the development, deployment, and monitoring of AI and machine learning solutions, including Generative AI (GenAI) technologies such as chatbots. The ideal candidate will have experience working in an onshore-offshore model, with a strong background in AI/ML development and operational best practices. This role requires close collaboration with the onshore AI Manager and cross-functional teams including AI Ops, ML Engineering, and Data Engineering. Key Responsibilities AI Model Development & Deployment: •Lead the offshore team in building, deploying, and managing AI/ML models, including traditional machine learning and GenAI solutions (e.g., LLMs, RAG systems). •Collaborate with AI Engineers to integrate models into enterprise applications and workflows. •Support the implementation of CI/CD pipelines for efficient model deployment and scaling. Monitoring & Performance Optimization: •Develop monitoring systems to track model performance, latency, and drift. •Implement feedback loops for continuous model improvement in collaboration with data scientists. •Monitor GenAI outputs for issues like bias, hallucinations, and security vulnerabilities. MLOps & Automation Best Practices: •Establish MLOps practices to support continuous integration and deployment of AI models. •Automate model retraining, versioning, and rollback strategies. •Collaborate with AI Ops and Data Engineers to ensure smooth data and model pipelines. Security & Compliance: •Implement security measures to safeguard AI systems from data leaks, prompt injections, and unauthorized access. •Ensure AI solutions comply with relevant privacy and regulatory standards (e.g., HIPAA, GDPR). •Regularly audit AI pipelines for ethical practices and data governance. Collaboration & Communication: •Work closely with the onshore AI Manager and cross-functional teams to align AI initiatives with business goals. •Facilitate effective communication between onshore and offshore teams. •Contribute to documentation, playbooks, and best practices for AI operations. Team Leadership & Development: •Manage and mentor a team of data scientists, fostering professional growth and collaboration. •Encourage an innovative, problem-solving culture within the team. Qualifications & Skills Education: •Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. •Certifications in cloud platforms (Azure, AWS, GCP) or MLOps frameworks are a plus. Experience: •5 years of experience in Data Science, with 2+ years of experience leading AI/ML development and operations in onshore/offshore model. •Hands-on experience with deploying AI models, including LLMs and GenAI solutions. •Experience working with cloud AI platforms (Azure AI, AWS SageMaker, Google Vertex AI). Technical Skills: •Proficient in Python and SQL •Familiarity with MLOps tools like MLflow, Kubeflow, or Airflow. •Experience with monitoring tools (Prometheus, Grafana) for AI performance. •Knowledge of containerization and orchestration tools (Docker, Kubernetes). •Proficiency in scripting languages like Python or Bash. •Understanding of CI/CD pipelines (Jenkins, GitHub Actions) for model deployment. Soft Skills: •Strong problem-solving abilities and a proactive approach to troubleshooting. •Excellent collaboration skills with cross-functional teams. •Results-driven mindset with a focus on operational efficiency and scalability. •Ability to thrive in a fast-paced, dynamic environment.

About IIFL Home Loans : IIFL Home Loans is one of the leading home loan providers in India, with a mission to help customers fulfill their dream of homeownership. As part of our continued efforts to innovate and drive growth, we have recently established a dedicated team to lead AI-related projects. This team will focus on leveraging artificial intelligence to transform business workflows, optimize costs, and enable exponential growth for the company. We are looking for a Senior Product Manager AI Solutions to help drive this digital transformation. Job Overview : We are looking for a highly skilled and motivated Senior Product Manager AI Solutions to join our growing AI team. The ideal candidate will have a deep understanding of Artificial Intelligence, both conceptually and with some coding expertise, and a proven track record in implementing AI solutions to solve business problems. This individual will play a key role in identifying and prioritizing AI-driven use cases, working closely with internal business teams and leading IT service providers to design and deliver AI-powered solutions that drive business growth, cost optimization, and process improvement. Role & 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. Guide the transformation of business processes to leverage AI capabilities for exponential growth. Collaboration with External Partners : Coordinate with IT service providers and AI solution vendors to develop and implement AI solutions tailored to IIFL Home Loans' unique business challenges. Evaluate and manage relationships with external technology partners, ensuring that the right solutions are in place for successful AI implementation. Market Research and AI Trends : Keep abreast of the latest trends and advancements in AI, data science, and machine learning, and evaluate their applicability to IIFL Home Loans' business. Apply cutting-edge AI technologies and methodologies to develop competitive, innovative solutions. Leadership & Mentoring : Lead a small team of AI specialists, guiding them in product delivery and encouraging innovative problem-solving. Provide mentorship to junior team members, fostering a culture of continuous learning and improvement. Educational Qualifications : A degree in Artificial Intelligence or a related field (e.g., Data Science, Computer Science) is preferred. Graduates from Tier 1 or Tier 2 colleges will be highly preferred. An MBA or similar business qualification is a plus, but not mandatory.

AI/ML Engineer LLM PII Detection Department: Data Science / AI Engineering Role Overview We are seeking a skilled AI/ML Engineer to join our team focused on building and fine-tuning local LLM models for PII detection at scale (50+ PB of data). In this role, you will work closely with our AI Expert (Team Lead) to develop, deploy, and optimize state-of-the-art AI models that can detect Personally Identifiable Information (PII) across diverse data sources—including documents, databases, knowledge graphs, code, and more. Key Responsibilities Model Development: Assist in designing, training, and fine-tuning local LLM models for PII detection. Develop generative AI agents that utilize data schema and metadata to enhance PII detection process - reducing workload sizes with smart sampling. Framework Implementation: Utilize frameworks such as Ray, llama.cpp, ollama, vLLM, and PyTorch to build and scale AI models. Implement and support distributed computing frameworks to process and analyze large-scale datasets efficiently. Deployment & Optimization: Support the deployment of AI/ML solutions on both Azure and on-premise infrastructures. Monitor model performance, troubleshoot issues, and iterate to ensure optimal performance with evolving data. Collaboration: Work collaboratively with cross-functional teams—including data engineering, security, and compliance—to align AI solutions with business needs. Participate in code reviews, share insights, and document best practices to maintain high standards across projects. Continuous Improvement: Engage in ongoing learning and development of new AI methodologies. Contribute to the enhancement of model robustness and scalability, ensuring our systems handle 50+ PB of data reliably. Technical Proficiency: Hands-on experience with Python and ML frameworks (especially PyTorch). Familiarity with distributed computing tools such as Ray/Pyspark. Experience with LLM frameworks/tools such as llama.cpp, ollama, and vLLM. Data Handling: Ability to work with very large datasets and implement scalable, distributed solutions. Prior exposure to AI model development and fine-tuning for specialized tasks. Deployment Expertise: Experience deploying AI/ML models on Azure cloud platforms and/or on-premise environments. Communication & Collaboration: Strong communication skills to effectively collaborate with team members and cross-functional stakeholders. A proactive approach to problem-solving and a commitment to quality. Experience in PII detection, data privacy projects, or related fields. Basic understanding of data security and compliance frameworks. Familiarity with generative AI techniques and prompt engineering. Previous exposure to the fintech, payments, or security domains is a plus.

Job Description : Data Engineer at Mirabel Technologies should be an avid programmer of Java, Python, R or Scala with expertise in implementing complex algorithms. Data Engineer will work on collecting, storing, processing, and analyzing huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company in various products. Skillset : 1. Proficient understanding of distributed computing principles 2. Ability to build, run and manage large clusters 3. Hadoop v2, MapReduce, HDFS 4. Java, Python 5. Large Scale crawling: Scrapy, Nutch and custom crawling solutions 6. Experience with Apache Solr Lucene 7. NoSQL databases, such as MongoDB, HBase, Cassandra 8. Knowledge of various ETL techniques and frameworks, such as Flume 9. Experience with NLP tools and systems for POS, NER, and Information extraction 10. Experience with Machine Learning - Regression, Classification, Decision Trees. 11. Experience with Linux / AWS. Experience : 4-5 years Key skills: NLP, LLM, AWS Sagemaker, Deep Learning, and No Sql Database.