555 Llm Jobs - Page 15

We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate willhave deep expertise in working with transformer-based models, including GPT, BERT, T5,RoBERTa, and similar models.

We are seeking an innovative and highly skilled Architect / Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools Role & responsibilities: Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI. Hands on experience in any of LLMs such as OpenAIs ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF) Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms. Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker. Preferred candidate profile: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI. Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Proven track record of leading AI projects from inception to production. Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF). Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning). Interested candidates can share their profiles to archana.y@orioininc.com Thanks & Regards, Archana Yesodharan Deputy Manager Talent Acquisition __________________________________________ Orion Innovation

Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc

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. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 1-47years 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. Role & responsibilities Preferred candidate profile Perks and benefits

Required skills 5+ years of professional experience in building Machine Learning models & systems 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP, or AWS Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. Cloud integration : Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. Cross-functional collaboration : Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. Mentoring and guidance : Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Continuous innovation : Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Capita is hiring AI engineers for Pune location AI Engineer (Offshore IN ) Experience: 5 to 8 yrs AI Engineer will play a crucial role in the implementation and maintenance of cutting-edge artificial intelligence products. The responsibilities of this role will involve designing and developing artificial intelligence systems as well as refining and updating existing systems. Candidate should be AI & Gen AI practitioner with experience building data pipelines based on model chaining, with solid platform and infrastructure foundations. Ideal candidate will have a strong knowledge base and expertise for specific Gen AI applications. Technical skills and responsibilities Model chain libraries (e.g. Langchain) Expertise in database management systems (e.g., Postgres, Redis) Well-versed in software engineering practices LLM and Foundational models (AWS and Azure platform) NLP - Experience handling unstructured data and applying machine learning techniques, including Natural Language Processing within the context of Large Language Models. Model serving and Model lifetime management (accuracy, Testing etc.) Ability to perform prompt engineering to guide AI models effectively. Workable knowledge of AI and ML best practices for Model building, Automation, Neural network enrichment, Iterative learning, Black box problem-solving Deep proficiency using Python and asynchronous programming, specifically regarding software development principles, algorithms, data structures, and design patterns. Experience in writing and maintaining test cases to ensure code quality Deployment including pipelines Experience with cloud platforms (e.g., AWS, Azure) and distributed computing. Proficiency with Git for version control and collaborative development Strong problem-solving skills to troubleshoot and resolve software issues effectively Excellent communication skills for clear and concise interaction with team members and stakeholders Familiarity with Agile and Scrum methodologies Requirements Total IT experience of around 5 to 8 years with 2 years’ experience in relevant role Clear communication with product owner and other engineers regarding project timelines, delays, advancements, and progression Understanding of Engineering ethics, AI creation ethics Strong time management skills Dedication to high-quality work output Ability to work in a team and Effective communication skills to collaborate with diverse teams. Outstanding analytical and problem-solving skills Excellent problem-solving abilities and a passion for innovation. Interested candidates send the resume on varsharani.savale@capita.com Total Experience: Current CTC: Expected CTC: Offer in hand: Notice period:

Responsibilities may be quite diverse of a technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school. Qualifications Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Mtech in Software Engineering, Data science, AI Preferred Qualifications: Mtech in Software Engineering, Data science, AI Web development, React, Typescript, Node JS ,Python, Mongo, SQL, GraphQL , Express, LLM Models(Gen AI Agents), REST APIsRequirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Hiring for Reputed client of Randstad Job Responsibilities: 1. Team Oversight: Lead and mentor a team of Associate Prompt Engineers and Prompt Engineers, providing guidance, support, and performance evaluations. Foster a collaborative and high-performance work environment, ensuring team members meet their goals and contribute effectively. 2. Project Management: Oversee the planning, execution, and delivery of the projects. Ensure that project milestones and deadlines are met while maintaining high standards of quality. Assign tasks and responsibilities to team members based on their skills and availability and monitor their progress and performance. Resolve any issues or challenges that arise during the project execution, escalating them to management when necessary. Prepare and present regular reports on team performance, metrics, and project progress to management. Analyze data to identify trends and areas for improvement. Ensure effective task allocation and inventory management for the projects. Directs resources to complete assignments using established guidelines, procedures, and policies. Monitor Attrition/Absenteeism and impact on throughput. F/B & ideas for Improving Productivity & Quality in existing processes. Update the trackers and reports with RCCA as per the project requirements Demonstrates proactiveness in anticipating issues/situations leading to significant impact. 3. Training and Development: Identify training needs and coordinate development opportunities for team members. Promote best practices in prompt engineering and stay abreast of industry trends and advancements. • Technical Expertise: Strong understanding of NLP concepts, large language models, and AI systems. Experience in prompt engineering and related technical areas. Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical information clearly and effectively. • Experience: Minimum of 5 years of experience in project management handling a large team, preferably managing prompt engineering or LLM based projects. Virtual Interviews 5 days working Hybrid work mode Interested Candidate's share Cv on p.preethi@randstad.in

Job Description : As a Security, Safety, Privacy, Regulatory Engineer for our Large Language Model Project, you will be a key player in ensuring the robustness, compliance, and ethical use of our language models. Your role will involve implementing and overseeing security measures, addressing safety considerations, safeguarding user privacy, and ensuring compliance with relevant regulations and standards. This position is critical in establishing trust and mitigating risks associated with the deployment of large language models. Key Responsibilities : Security Implementation - Design and implement security measures to safeguard against potential threats, vulnerabilities, and unauthorized access to language models. Conduct regular security audits and assessments, collaborating with cybersecurity experts to enhance model security. Safety Protocols - Develop and implement safety protocols to identify and mitigate risks associated with language model deployment, including potential biases and unintended consequences. Work closely with the development team to address safety concerns and ensure responsible AI practices. Privacy Protection - Establish and enforce privacy controls to protect user data and ensure compliance with privacy regulations. Conduct privacy impact assessments and work with legal and compliance teams to address privacy-related concerns. Regulatory Compliance - Stay abreast of relevant laws, regulations, and industry standards related to AI, language models, and data processing. Ensure that language models adhere to all applicable regulatory requirements and work towards obtaining necessary certifications. Ethical Considerations - Advocate for ethical AI practices and contribute to the development of guidelines for responsible and fair use of language models. Collaborate with cross-functional teams to address ethical concerns and implement transparency measures. Skills & Tools Security Tools - Familiarity with security tools and frameworks such as Nessus, Metasploit and OWASP ZAP for vulnerability assessments, penetration testing, and threat modeling. Familiarity with secure development tools such as SonarQube, Checkmarx, or Fortify for identifying and mitigating security vulnerabilities in software code. Encryption Technologies - Knowledge of encryption technologies and tools like OpenSSL, VeraCrypt, or AWS Key Management Service (KMS) for data encryption at rest and in transit. Compliance Frameworks - Knowledge of relevant compliance frameworks, such as GDPR, HIPAA, and others, and experience in implementing compliance measures using OneTrust & Trustarc. Privacy Impact Assessment Tools - Experience with tools and methodologies for conducting privacy impact assessments and ensuring compliance with privacy regulations. Regulatory Knowledge - Understanding of AI-related regulations, standards, and guidelines, and the ability to interpret and implement them in the context of language models. Knowledge of privacy-enhancing technologies such as homomorphic encryption, differential privacy, and secure multi-party computation, and experience in their practical implementation.

Job Description : As a Performance Benchmarking Engineer your responsibilities include assessing and optimizing the efficiency and effectiveness of our language models. You will be responsible for designing, executing, and analysing performance benchmarks to ensure that our models meet or exceed industry standards. Your work will contribute to the continuous improvement and fine-tuning of our models for optimal performance across various applications and environments. Key Responsibilities : Benchmark Design and Execution - Develop comprehensive performance benchmarks to evaluate the speed, scalability, and resource utilization of our large language models. Design and implement experiments to assess model performance under various conditions, including different hardware configurations and input datasets. Performance Analysis - Conduct in-depth analysis of benchmark results to identify bottlenecks, inefficiencies, and areas for improvement in model performance. Collaborate with the development and engineering teams to implement optimizations based on benchmark findings. Benchmark Automation - Implement automated benchmarking processes to enable regular and consistent performance evaluations across model iterations. Develop scripts and tools to streamline the benchmarking workflow and ensure reproducibility of results. Scalability Testing - Evaluate the scalability of language models by assessing their performance with increasing data sizes and processing demands. Identify and address scalability challenges to enhance the model's effectiveness in handling larger workloads. Infrastructure Optimization - Collaborate with infrastructure and DevOps teams to optimize hardware and software configurations for peak model performance. Provide recommendations for infrastructure enhancements based on benchmarking results. Benchmark Reporting - Generate clear and concise reports summarizing benchmark results, key findings, and recommended optimizations. Communicate benchmark outcomes to relevant stakeholders, including developers, product managers, and executives. Skills & Tools Performance Testing Tools - Proficiency in using benchmarking tools and frameworks such as Apache JMeter, TensorFlow Benchmarking Suite, or custom scripts for performance evaluation. Benchmarking Datasets Aware of various Benchmarking data sets available (like HumanEval, Hellaswag, BoolQ etc) based on problem types like conversational, Coding, test cases etc. Deep understanding of performance evaluation metrics like relevance, faithfulness, coherence etc with respect to LLM input and output and how they can be measured / quantified Programming Languages - Strong programming skills in languages like Python, Bash, or other scripting languages for automation and tool development. Data Analysis Tools - Experience with data analysis tools and libraries (e.g., Pandas, NumPy) to derive insights from benchmark results. Cloud Services - Familiarity with cloud platforms (AWS, Azure, Google Cloud) and experience in benchmarking models across different cloud configurations. Containerization - Knowledge of containerization technologies (e.g., Docker, Kubernetes) and their impact on model performance. Statistical Analysis - Understanding of statistical methods for analyzing benchmark results and drawing meaningful conclusions.

Experience: 8 to 10 Years of relevant IT experience (Minimum 4 to 5 years in Data Science, AI/ML) Roles and Responsibilities: Solution Design: Architect, design and implement to solve complex AI/ML solutions that align with business objectives and integrate with existing systems. Also develop and apply supervised and unsupervised learning techniques on large datasets. Stakeholder Engagement: Collaborate with stakeholders to gather requirements and translate them into technical specifications. Technical Leadership: Guide and mentor development teams in AI/ML technologies solutions and best practices. Project Management: Manage AI/ML projects from ideation to deployment, ensuring they are delivered on time and meet quality standards. Innovation: Stay abreast of the latest AI/ML trends and technologies, driving innovation within the organization. Model Optimization: Optimize AI/ML models for performance, scalability, and reliability. Documentation: Develop and maintain detailed documentation for AI/ML solutions, including architecture diagrams, technical specifications, and user manuals. Create appropriate business value centric case studies, based on the actual projects that have been executed. Training and Support: Provide training and support to team members and end-users on AI/ML tools and solutions. Skills and Qualifications: Bachelors or Masters degree in Computer Science, or a related field. At least 5 years of experience in AI/ML solution architecture including RAG, LLM solutions, with a proven track record of successful project implementations. Expertise in programming languages such as Python or Java. Strong understanding of machine learning frameworks and Python AI libraries (e.g., TensorFlow, PyTorch, Pandas, Keras, matplotlib, scikit-learn). Strong knowledge of supervised and unsupervised AI learning techniques. Expertise in training and retraining AI models. Experience with cloud platforms (e.g., AWS, Azure) and their AI/ML services such as Claude, Bedrock, and other solutions such as GPT and NLP. Hands-on experience with creating AI prototypes for specific use cases. Should be well versed in creating solutions in response to customers RFIs/RFPs. Adept in Presentation material preparation and doing client presentations. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work collaboratively in a team environment. Leadership and mentoring abilities. Certifications: Relevant certifications in AI/ML, cloud computing, or solution architecture are a plus. Work Mode: Work from Home (WFH) is available; however, based on client requirements, Candidate may need to work from the office (WFO) in Hyderabad. Time Zone : US Travel: Candidates should be open to international travel if required for client projects.

Job Summary As a Senior Machine Learning Solutions Architect at NetApp, you will be at the forefront of driving innovation by designing and implementing cutting-edge Generative AI (GenAI) and Machine Learning (ML) solutions. Your work will empower our internal sales teams, partners, and customers with actionable insights derived from advanced analytics. You will lead the design of scalable, robust, and production-ready AI/ML systems, from real-time predictive analytics to LLM-driven automation, ensuring seamless integration into our existing infrastructure. Collaborating with cross-functional teams, including senior software developers, technical directors, and business stakeholders, you will play a pivotal role in shaping the future of data-driven decision-making at NetApp. This role demands a creative, results-driven, and collaborative individual who thrives in a fast-paced environment and is passionate about leveraging AI/ML to solve complex business challenges. Job Requirements Architect and Deploy AI/ML Solutions. Design, develop, and implement scalable and robust ML systems using techniques such as classical machine learning, Generative AI models (e.g., LLMs), and AI agents. Ensure the reliability, scalability, and performance of AI/ML models in production environments. Oversee ML design reviews and establish best practices for end-to-end ML systems, including MLOps and CI/CD pipelines. Collaborate Across Teams. Partner with data engineers to build scalable data pipelines for AI/ML-driven solutions, including curated data pipelines, ML feature pipelines, and deployment services. Work closely with business stakeholders to identify and unlock new use cases, driving innovation through data intelligence. Participate in cross-functional meetings, workshops, and planning sessions to align data engineering and AI/ML initiatives with organizational goals. Technical Leadership and Mentorship. Act as a technical thought leader in the AI/ML space, providing guidance on data governance, model lifecycle management, and MLOps practices. Mentor and coach data scientists and cross-functional team members, fostering a culture of innovation, collaboration, and continuous learning. Industry Representation. Represent NetApp as a leader and ambassador in the AI/ML community, building relationships with external partners and promoting the companys capabilities at industry and academic conferences. Education Masters or Bachelors degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Science, or a related field. 10+ years of experience as a Data and Machine Learning Engineer, with a proven track record of architecting, designing, and implementing end-to-end ML solutions, building scalable data/feature pipelines, and shipping AI/ML-driven products at scale. Recent experience with experimenting and deploying Large Language Models (LLMs) to production is a strong.

Looking for candidates from Premium institutes education background. Hands on Exp with AI ML, Gen AI - LLM, NLP, Lang chain

Very Urgent: Python-trained Freshers / Jr.Python Developers Company: AurumData Solutions Location: Hyderabad Experience: 1-5 Years Work type: Work From Office Key skills: Python, AI, API/FastAPI, SQL/PostgreSQL, Javascript, HTML, CSS, BCrypt, numpy, matplotlib, PyTorch and Tensorflow, Integration, etc.. . Description: We are looking for (1-5 years or 0 years but strong Python/Full Stack developer background) to join our engineering team and help us create AI driven Web applications. Following are the criteria we are looking for: 1. Strong base in engineering and test-driven development of python applications. 2. Working knowledge of integrating AI models into full stack applications. 3. Experience in developing React Web applications and optimization of UI. 4. Good understanding of networking and debugging of full stack application. 5. Ability to virtualize and create application and service images. 6. Experience working in agile engineering workflows and dealing with dynamic requirements. 7. Good communication and team interaction Tool knowledge: 1. Python JUnit or similar unit test case framework, FastAPI, BCrypt, numpy, matplotlib, transformer model integration, PyTorch and Tensorflow, Triton server deployment and integration, CUDA integrations. 2. React Web application development, component driven development, State management with libraries like Redux 3. PostgreSQL, schema optimization 4. Docker, Git, VS Code Thanks & Regards, Madhavi Cheruku Talent Acquisition Lead Mobile No: +91- 6281840572 Email: madhavi@aurumdatasolutions.com Aurum Data Solutions (I) Pvt Ltd., (a subsidiary of Aurum Data Solutions Inc, USA) Unit #06B, The Headquarters, 10th floor, Wing-B, Orbit by Auro, Knowledge City, Raidurga, Hyderabad 500 019.

Develop applications for investment management and trading/Valuation support using Python, React, Flask, FastAPI React and AWS and LLM Unit Testing Daily Scrums with client Required Candidate profile 5+ years of Python with Flask, FastAPI, etc. Experience with RestAPI development Basic UI Development in React, Experience with cloud Azure/ AWS Experience with LLM /Langchain and DEvops

Join a Global Initiative: AI Ethics & Ethical Digital Transformation Are you a Data Scientist, LLM Developer, Machine Learning Engineer, or AI Researcher passionate about building ethical AI solutions ? Do you believe in the responsible development of Large Language Models (LLMs) and AI-driven digital transformation with a global impact? If so, we invite you to be part of an ambitious movement to shape AI Ethics, Governance, and Responsible Innovation . We are assembling a global team of hardcore AI programmers, ML engineers, LLM experts, researchers, and cybersecurity professionals willing to contribute their expertise to build AI solutions that prioritize ethics, fairness, and transparency . This is an opportunity to collaborate with top minds, drive meaningful change, and influence global AI policies . Who Should Apply? LLM Developers & AI Engineers Experienced in fine-tuning, deploying, and securing large-scale AI models Machine Learning & Deep Learning Experts Passionate about cutting-edge AI research and responsible AI design Data Scientists & AI Researchers – Working on AI fairness, bias mitigation, and risk assessments AI Governance & Policy Leaders – Experts in AI ethics, regulation, and compliance Cybersecurity & Privacy Experts – Advocates for AI security, data privacy, and adversarial robustness Tech Mentors & Educators – Willing to guide students, researchers, and startups in responsible AI adoption Startup Founders & Ethical Innovators – Interested in AI-driven, impact-first ventures Roles & Responsibilities AI Ethics & Governance – Contribute to ethical AI frameworks, regulatory policies, and responsible AI design LLM Optimization & Alignment – Build, fine-tune, and align LLMs for responsible AI applications Bias & Fairness Audits – Develop methodologies to detect and mitigate AI biases in real-world models Cybersecurity & AI Risk Management – Strengthen AI security against adversarial attacks and cyber threats Industry-Academia Partnerships – Facilitate research collaborations for AI ethics and compliance Student Mentorship & Training – Conduct AI workshops, research programs, and global AI challenges Thought Leadership & Research – Publish papers, case studies, and policy recommendations on AI ethics Why Join Us? Shape the Future of AI – Define responsible AI practices at a global scale Work with Global AI Leaders – Collaborate with top researchers, engineers, and policymakers Mentor the Next Generation – Empower students, researchers, and startups to build ethical AI No Corporate Bias, Pure Mission – A self-supported initiative dedicated to global AI ethics & welfare Work on Cutting-Edge AI Challenges – Address AI risks, cybersecurity threats, and ethical dilemmas Location & Commitment Remote & Global – Work from anywhere, collaborate across time zones Flexible Engagement – Contribute as per availability (mentorship, research, policy, or thought leadership) Freshers seeking assignments can also apply and encourage students and every professional who reads it, irrespective of their education background (Arts, Science, Humanity, Social Work, Media etc too to explore this opportunity) How to Apply? If you are ready to co-create the future of AI ethics & digital transformation , Express your interest by filling our questionnaire

Technical Needs: 5+ years experience in Python Hands-on experience in Generative AI, LLMs, RAG Pipeline, prompt tuning, Agentic frameworks like LangChain/LangGraph Must have good experience on AWS and Docker based development. Good to have knowledge of Hugging Face, agentic frameworks, and Machine Learning Job Responsibilities: The responsibilities will depend on the needs of your organization and team, but edit these to get you started: Model, build, and test AI software to ensure it can take on large swaths of data and achieve desired results. Use Python, JavaScript, and C++ to create a faster, more capable AI. Analyze statistics, data, and algorithms for projection accuracy. Use AI analysis to make strategy recommendations that align with company goals. Work with a team of machine-learning and data engineers to ensure seamless AI development and integration. Stay current on AI knowledge, trends, and regulations. Collect, organize, and present progress with team leadership and stakeholders.

We are seeking a highly skilled and experienced Senior Python Developer with a strong background in Artificial Intelligence (AI) and expertise in PyTorch . The ideal candidate will lead development initiatives, build innovative solutions, and work on cutting-edge projects that leverage AI technologies. This role offers an exciting opportunity to work in a collaborative environment, solve complex challenges, and contribute to impactful projects. Key Responsibilities AI Model Development : Design, develop, and deploy AI/ML models using PyTorch for diverse applications. Software Development : Write clean, scalable, and efficient Python code to create robust software solutions. Research and Innovation : Stay updated with the latest advancements in AI/ML and recommend best practices for implementation. Optimization and Performance Tuning : Optimize models for performance, scalability, and deployment in production environments. Collaboration : Work closely with cross-functional teams including data scientists, product managers, and software engineers to deliver high-quality solutions. Tool Integration : Integrate AI models into existing systems and workflows while ensuring seamless deployment. Documentation : Maintain comprehensive documentation for developed solutions, including APIs and technical specifications. Required Skills and Qualifications Programming Expertise : Strong proficiency in Python with extensive hands-on experience. AI/ML Expertise : Proven experience in building and deploying machine learning models, especially using PyTorch . Development Experience : Minimum of 5 years of professional experience in software development. Frameworks & Libraries : Deep understanding of PyTorch, TensorFlow (optional), Scikit-learn, Pandas, NumPy, etc. Cloud Computing : Experience with deploying AI solutions on cloud platforms like AWS, Azure, or GCP. Database Management : Familiarity with relational and non-relational databases (e.g., MySQL, MongoDB). Version Control : Proficient with Git and CI/CD pipelines. Understanding of LLM model (Large Language Model). Problem-Solving Skills : Strong analytical and problem-solving abilities with attention to detail. Soft Skills : Excellent communication, collaboration, and leadership skills. Preferred Skills Experience with NLP, Computer Vision , or other specialized AI domains. Experience with any Frontend language. Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with DevOps practices and tools. Exposure to Big Data frameworks (e.g., Apache Spark, Hadoop). Certifications in Python, AI, or cloud platforms (AWS/GCP/Azure).

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt. Ltd.! We're hiring an Legal Executive for our client. About the Client & Role: Our client is a leading company in the industry, committed to providing high-quality products and innovative solution s. They are looking for a dynamic and detail-oriented professional to handle excise compliance and liasoning activities. Job Title: Excise Liasoning Executive Department: Liasoning Department Experience Required: 0-2 Years of experience in liasoning activities. Essential Qualifications: MBA (Preferred) Age Criteria: 25-30 years Gender: Male Job Location: Hyderabad Reporting To: Head Office Working Hours: 10 AM 6 PM Working Days : 6 days a week Key Responsibilities: Act as the primary point of contact between the company and State Excise Authorities in Telangana. Ensure compliance with state excise laws, rules, and regulations related to ethanol production and distribution. Facilitate timely approvals, licenses, permits, and renewals required for manufacturing and distribution operations. Represent the company in meetings, hearings, and discussions with the State Excise Department. Liaise with various government bodies to resolve regulatory issues and ensure smooth operations. Prepare and submit reports and documentation as required by the State Excise authorities. Track and monitor any changes in local excise policies and legislation that may impact the company. Work closely with internal teams to ensure all compliance requirements are met. Key Skills & Abilities: Exceptional communication skills, both verbal and written. Strong organizational skills to manage tasks, projects, and deadlines efficiently. Strategic thinking to align regulatory activities with business objectives. High level of confidentiality and discretion in handling sensitive information. (Interested candidates can share their CV to aradhana@hungrybird.in or call on 9959417171.) Please furnish the below-mentioned details that would help us expedite the process. PLEASE MENTION THE RELEVANT POSITION IN THE SUBJECT LINE OF THE EMAIL. Example: KRISHNA, HR MANAGER, 7 YEARS, 20 DAYS NOTICE Name: Position applying for: Total experience: Notice period: Current Salary: Expected Salary: Thanks and Regards Aradhana +91 9959417171

Senior Data Engineer Experience: 5 - 8 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Pune) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Large Language Models, Python, Data Architectures, data science Good to have skills : MongoDB, Elasticsearch, SCM tools, Cloud Innoplexus (One of Uplers' Clients) is Looking for: Senior Software Engineer DE 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 Job Description: Position Senior Software Engineer DE Experience - 5 - 8 Years Responsibilities Design and develop high-scale data architectures, considering factors such as performance, scalability, reliability, and maintainability. Architect and implement database designs from scratch, optimizing for query performance and data integrity. Leverage your deep understanding of web concepts, web services, asynchronous and parallel processing, and database connectivity to create efficient data pipelines. Apply data science principles to solve complex business problems and drive data-driven decision-making. Work with Large Language Models (LLMs) to develop intelligent data applications. Write clean, well-tested code and contribute to the development of automated testing frameworks. Manage large databases and indexes in production environments. Develop and execute data crawling strategies to extract relevant data from various sources. Collaborate with cross-functional teams to ensure alignment with business objectives and technical requirements. We need you to have: Must-Have 5+ years of experience in data related field. Strong foundation in computer science, with expertise in data structures, algorithms, and software design. Hands-on experience with Python for data analysis and development. Proven ability to design and implement high-scale data architectures. Deep understanding of web concepts, web services, asynchronous and parallel processing, and database connectivity. Knowledge of data science principles and their application in data engineering. Experience working with Large Language Models (LLMs). Proficiency in unit testing and automation test case development. Experience managing large databases or indexes in production environments. Data crawling experience. Good-to-Have Experience with MongoDB, ElasticSearch, or Neo4J. Familiarity with Flask, Django, Express, or microservices architectures. Exposure to Hadoop, Spark, or Kafka. Experience with SCM tools (branching, CI, deployment using Jenkins). Cloud experience with GCP, AWS, or Azure. Job Location- Pune, India. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Innoplexus, founded in 2011, leverages Artificial intelligence, machine learning, and blockchain to revolutionize life sciences. With a portfolio of 190+ US/EU patents, it aggregates and analyzes biomedical data to aid drug discovery, optimize clinical trials, and ensure regulatory compliance. By leveraging its ontology, data and AI models, it accelerates drug development and reduces costs. Committed to innovation and collaboration, it empowers Big Pharma and CROs to bring effective treatments to market efficiently and faster. It is headquartered in Eschborn, Germany, with offices in Pune, India, Iselin and San Francisco, USA. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Job Description: Interview will be conducted on 10th April 2025. location: Pune Required Qualifications 10+ years of professional experience in AI/ML development/ Data scientist Strong programming skills in Python and related ML frameworks Proven track record of delivering production ready AI solutions Effective communication with client Technical Skills & Experience Overview Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making

Greetings from Enormous IT!!!! Currently we are looking for AI/ML/LLM Data Engineer Experience: 5+ Years Location: Hyderabad Job Description: Build ML infrastructure in the cloud environment Develop and maintain data pipelines to support machine learning models, including data cleaning, prep-processing data, training and evaluation of models Support Prompt Engineering development that utilizes LLM and deep learning frameworks Collaborate with teams to design and implement solutions, including working with domain SMEs, software engineers, and product managers. Qualifications: 5+ years programming experience Strong programming skills in Python with clean, efficient, and well-documented code. Demonstrate experience with data science libraries and AI/ML techniques Deep understanding LLM Proven expertise in Prompt Engineering Experience with public cloud technologies and their ML service (AWS).

Job Description: Overview: To review contracts, conduct research and analyze legal issues associated with contracts and closely work with the customer to interpret contract terms and address potential disputes regarding contractual rights. Required skillset and qualification: Bachelors or Masters degree in law (LLB/LLM) from a recognised university Experience in handling contracts Drafting, reviewing, negotiating, and editing contracts and agreements Proficiency and fluency in English Excellent oral communication skills to closely work with the customer Strong analytical and negotiation skills Comprehensive understanding of corporate law Ability to work collaboratively as a team Prior experience working in a corporate sector Experience in publishing industry would be helpful Experience in working with US and EU clients is an added advantage

Key Responsibilities Develop and maintain autonomous agents using Python. Implement and integrate AI and LLM technologies into autonomous systems. Collaborate with cross-functional teams to design and develop innovative solutions. Analyze and evaluate the performance of autonomous agents and AI/LLM models. Grade and provide feedback on AI/LLM model results to ensure optimal performance. Stay updated with the latest advancements in AI, machine learning, and autonomous systems. Document development processes and technical specifications clearly. . Troubleshoot and resolve issues related to autonomous systems and AI/LLM implementations. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and software development. Strong understanding of AI, machine learning, and LLM concepts. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Ability to evaluate and grade AI/LLM model outputs accurately. Knowledge of autonomous systems and agent-based modeling. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of natural language processing (NLP) techniques and applications. Familiarity with robotics and control systems. Previous experience in developing autonomous systems or similar technologies.

8 years of professional in building Machine Learning models & systems/software engineering Background and moved into LLM last 3-4 years1+ years of hands-on experience in how LLMs work & Generative AI (LLM) RAG, and agents.