658 Mistral Jobs - Page 19

Experience Required: 4+ Years Key Responsibilities: Proficiency in Python (preferred), with working knowledge of TypeScript/Node.js, Go, or Java. Hands-on experience developing REST APIs, GraphQL endpoints, and/or gRPC-based services. Familiarity with integrating LLMs like GPT-4, Claude, Gemini, Mistral, or LLaMA. Exposure to frameworks such as LangChain, LlamaIndex, or CrewAI. Basic understanding of vector databases and semantic search tools (e.g., FAISS, Pinecone). Experience working in cloud environments (AWS, GCP, Azure) and with containerization tools (Docker, Kubernetes). Backend or full-stack development experience, with working on Generative or Agentic AI solutions. Show more Show less

Associate Director - AI/ML Engineering What you will do Let’s do this. Let’s change the world. We are seeking a Associate Director of ML / AI Engineering to lead Amgen India’s AI engineering practice. This role is integral to developing top-tier talent, setting ML / AI best practices, and evangelizing ML / AI Engineering capabilities across the organization. The Associate Director will be responsible for driving the successful delivery of strategic business initiatives by overseeing the technical architecture, managing talent, and establishing a culture of excellence in ML / AI The key aspects of this role involve : (1) prior hands-on experience building ML and AI solutions (2) management experience in leading ML / AI engineering team and talent development (3) Delivering AI initiatives at enterprise scale Roles & Responsibilities: Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development. Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery. Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring. Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value. Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies. Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies. Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems. Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives. Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience Preferred Qualifications: Experience in building AI Platforms & applications at enterprise scale Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI ) Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms. Proficient in programming languages such as Python, R, or Scala. Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud). Proven track record of managing and delivering AI/ML projects at scale. Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities. Experience in regulated industries, preferably life sciences and pharma Good-to-Have Skills: Experience with natural language processing, computer vision, or reinforcement learning. Knowledge of data governance, privacy regulations, and ethical AI considerations. Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms) Experience with AI Observability Professional Certifications (Preferred): Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate Soft Skills: Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Additional Information: a Any past Consulting experience Good to have c Good to have DBT, Python, Knowledge of Snowpark and any advanced certification Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM 15 years full time education Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Degrees in STEM 15 years full time education Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM 15 years full time education Show more Show less

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 763067 Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name EY- Assurance – Senior - Digital Position Level Senior Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Requirements (including experience, skills, and additional qualifications) Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Hi, Greetings from Warrior Tech Solutions. We are hiring for the below position: Role: Data Scientist/AI Engineer Location: Chennai/Hyderabad (Onsite – 5 Days) Experience: 6+ Years Notice: Immediate to 15 days Responsibilities will include but are not limited to: · Development and testing of Generative AI solution either Agentic or non-AgenticAI · Deep understanding of any framework either Langgraph or Autogen or CrewAI · Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF and success measurement. · Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases. · Designing end-to-end Generative AI solutions tailored to specific Verizon use cases. · Deep understanding of automation and AI technologies and their application in business operations. · Develop scalable prototypes of LLM and NLP Modules and systems which are critical to the company’s 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. Required Skills: · Minimum 6 years of experience in one or more of Data Science, LLM, Gen AI · Master’s degree from an accredited college or university preferred · 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 If interested, kindly share the resumes to *bharathi@ewarriorstechsolutions.com* or contact @8015568995. Job Type: Full-time Pay: ₹1,500,000.00 - ₹1,800,000.00 per year Schedule: Day shift Experience: Data Science: 6 years (Preferred) Machine Learning: 5 years (Preferred) Natural language processing: 5 years (Preferred) Python: 5 years (Preferred) Lang Chain: 5 years (Preferred) Lang Graph: 5 years (Preferred) Work Location: In person

Are you ready to revolutionize software development with the power of AI? At IgniteTech, we're not just adapting to the future; we're creating it. Join us to lead groundbreaking AI-driven initiatives that will redefine software architecture and elevate the industry standard. What You Will Be Doing Architect and design AI-driven systems to automate complex software development processes, such as architecture generation, dependency management, and predictive coding. Immerse yourself in cutting-edge AI and software engineering advancements through R&D, conferences, and professional communities, ensuring we're always at the forefront of technology. What You Won’t Be Doing Routine Code Maintenance or debugging of minor issues. Engaging in standard software development tasks without AI integration. Artificial Intelligence Engineer Key Responsibilities Drive significant improvements in development speed, error reduction, and code quality, leading to faster software product launches and increased customer satisfaction. Basic Requirements Minimum of 3 years' experience in implementing impactful software engineering initiatives. Proficiency with GenAI code assistants like GitHub Copilot, Cursor.sh, or v0.dev. Proven track record in implementing Generative AI solutions. Experience with leveraging LLMs such as GPT, Claude, or Mistral for business problem-solving. About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5269-IN-Hyderaba-ArtificialInte.006 Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Senior - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We design and build intelligent, secure, and scalable platforms that are reshaping the future across industries. Role Overview We are looking for a visionary and hands-on Generative AI Architect with 10+ years of experience in building scalable AI and data platforms, including 3+ years of expertise in Generative AI technologies . The ideal candidate will lead the design, development, and deployment of intelligent systems that integrate large language models (LLMs), multimodal AI, and other cutting-edge GenAI capabilities into real-world applications. This is a strategic and high-impact role that combines deep technical leadership with product innovation to define the future of AI at Techvantage.ai. What we are looking from an ideal candidate? Architect and lead end-to-end solutions involving LLMs, diffusion models, transformers, and multimodal AI across enterprise and consumer use cases. Design robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. Evaluate and integrate open-source and proprietary models (e.g., OpenAI, Anthropic, Mistral, LLaMA, Claude, Gemini, etc.) based on business requirements. Lead model selection, finetuning, RAG (Retrieval-Augmented Generation), prompt optimization, and latency vs. performance tradeoffs. Collaborate with product managers, data scientists, engineers, and clients to design GenAI-powered applications aligned with business goals. Ensure adherence to ethical AI practices, data privacy, model safety, and bias mitigation. Contribute to internal GenAI accelerators, reusable frameworks, and innovation strategies. Stay at the forefront of AI/ML advancements and drive PoCs and pilot implementations across industry verticals. Preferred Skills What skills do you need? Required Skills & Qualifications 10+ years of experience in technology roles, including AI/ML architecture, data engineering, or solution architecture. At least 3+ years of experience in designing and deploying Generative AI solutions. Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks (e.g., Hugging Face, LangChain, LlamaIndex, Haystack, etc.). Experience with prompt engineering, RAG pipelines, and vector database technologies (FAISS, Weaviate, Pinecone, Chroma, etc.). Proficiency in Python, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). Strong understanding of MLOps, CI/CD for ML, and model lifecycle management. Excellent communication and stakeholder management skills, with the ability to explain complex AI concepts to non-technical audiences. Preferred Qualifications Experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms. Familiarity with agentic AI systems, autoML, RLHF, or autonomous agents. Knowledge of data governance, compliance, and responsible AI frameworks. Contributions to open-source AI projects or publications in AI/ML are a strong plus. Master’s or PhD in Computer Science, AI/ML, Data Science, or a related field is preferred. What We Offer Lead innovation at the edge of Generative AI and intelligent systems Work with a talented team building future-ready AI infrastructure Access to state-of-the-art tools, models, and cloud credits Compensation is not a constraint for the right candidate Show more Show less

We are looking for a Software Engineer-AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities: Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end—from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set: 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. Show more Show less

About the Job We are seeking a highly skilled AI/ML Engineer with expertise in AWS AI/ML services and a strong understanding of Generative AI using Amazon Bedrock. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models on AWS, integrating LLMs into applications, and leveraging AWS services for scalable AI solutions. Experience Required - 4+ years Key Responsibilities Design, develop, and deploy AI/ML models on AWS, leveraging SageMaker, Bedrock, and related services. Build LLM-based applications using Amazon Bedrock and fine-tune models for specific use cases. Implement RAG (Retrieval-Augmented Generation) and integrate vector databases like OpenSearch, Pinecone, or FAISS. Develop scalable, production-ready ML pipelines using AWS services (Lambda, Step Functions, S3, DynamoDB, etc.). Utilize Bedrock, SageMaker, and custom fine-tuned models to deliver business-driven AI solutions. Work with cross-functional teams to integrate ML models into real-world applications. Ensure AI solutions adhere to best practices for security, compliance, and cost optimization. Stay updated with the latest trends in GenAI, prompt engineering, and AI model optimization. Required Skills Strong expertise in AWS AI/ML stack – Amazon Bedrock, SageMaker, Lambda, Step Functions, S3, DynamoDB, etc. Experience with Generative AI models (GPT, Claude, Mistral, LLaMA, etc.) and fine-tuning techniques. Hands-on experience in Python, TensorFlow, PyTorch, or Hugging Face. Knowledge of vector databases and embedding models. Experience in building secure and scalable AI applications using AWS. Familiarity with MLOps practices, CI/CD for ML models, and cloud automation. Strong problem-solving skills and ability to work in a fast-paced environment. Good to Have Experience with LangChain, Prompt Engineering, and RAG techniques. Understanding of data governance, AI ethics, and responsible AI practices. Certification in AWS Machine Learning Specialty/ Associate or relevant AI certifications. Relevant Skills vector databases, models, mlops, ml, pytorch, s3, lambda, tensorflow, ci/cd, amazon Show more Show less

Job Description Why Gainsight? We are ranked #1 on Glassdoor’s 2023 Best Place to Work List. Here’s why. At Gainsight, our mission is to be living proof you can win in business while being human-first. Our industry-leading platform helps companies of all sizes and industries build durable businesses. Gainsight offers a powerful set of customer success, product, and community engagement solutions that enable businesses to scale efficiently, create alignment, and have a holistic view of their customers—all of which help increase product adoption, prevent churn, and grow renewals and expansions. Our software is used by hundreds of companies, including nearly 200 publicly traded organizations and industry leaders such as GE Digital, SAP Concur, and Box. We have offices in the US, UK, Netherlands, Israel, Japan, and India. Gainsight joined the Vista Equity Partners portfolio in 2020. In 2021, we won their Excellence in Engineering award in recognition of our product and engineering advancements. Gainsight has also been named one of the top 100 private cloud companies in the world by Forbes, one of the fastest-growing private companies in America by Inc. Magazine, and one of 20 Great Workplaces in Tech by Fortune Magazine. With diversity and inclusion at the forefront of our values, we promote a culture that celebrates diversity and inclusiveness regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. Job Summary Applied AI Engineer (Agentic Workflows, Model Routing) As an Applied AI Engineer specializing in Agentic Workflows and Model Routing, you will focus on orchestrating complex, multi-model AI systems that enable intelligent decision-making. Your work goes beyond selecting the right models—you will design and build adaptive AI agents that dynamically route tasks between different LLMs, APIs, and external data sources. This role requires deep expertise in agentic behavior design, multi-model coordination, and workflow optimization, ensuring that AI-driven agents can autonomously reason, select models, and handle complex decision trees. What You Will Do Evaluate and integrate orchestration frameworks (e.g., LangChain, LlamaIndex) to optimize model routing logic. Configure AI agents to intelligently select the best model for each query, leveraging GPT-4 for complex reasoning, Llama 2 for rapid responses, and Claude for nuanced understanding. Develop fallback and escalation mechanisms, ensuring tasks are reassigned to the appropriate model if an initial response lacks confidence or accuracy. Fine-tune multi-step agentic workflows that incorporate external APIs, retrieval-augmented data (RAG), and reflection prompts to ensure high-quality outputs. Monitor performance metrics and AI decision policies, continuously refining workflows based on real-world feedback and LLM evaluation metrics. Design AI-driven handoff strategies for seamless agent communication, error recovery, and reasoning enhancements. Implement dashboards and evaluation criteria to measure how agentic workflows evolve over time. Collaborate with AI researchers, engineers, and product teams to enhance autonomous agent capabilities in a real-world production environment. Who You Are: (Experience & Qualifications): 5–8+ years of experience in AI, Machine Learning, NLP, or AI Systems Engineering. 2–3+ years of hands-on experience building AI agents, designing model routing architectures, or working with multi-model AI orchestration. Expertise in agentic frameworks such as LangChain, LlamaIndex, CrewAI, or OpenAI function calling. Deep knowledge of LLM architectures (GPT-4, Claude, Llama 2, Mistral) and experience orchestrating multi-model decision workflows. Strong understanding of retrieval-augmented generation (RAG) and how to integrate vector databases into AI workflows. Experience designing self-assessment and reflection prompts that improve agent reasoning accuracy. Proficiency in Python, OpenAI SDK, Hugging Face, and cloud-based AI deployments. Strong grasp of LLM safety mechanisms, fallback strategies, and ethical AI development. Experience implementing evaluation dashboards and tracking model performance using AI metrics (win-rate comparisons, perplexity, response confidence). Bonus Skills (Nice to Have) Experience fine-tuning open-source LLMs for domain-specific use cases. Strong grasp of automated agent handoffs and escalation pathways. Familiarity with multi-agent AI research, including self-improving agent architectures. Knowledge of LLM caching, latency optimization, and efficient model-switching technique Why You’ll Love It Here Your job shouldn’t stand in the way of your happiness—it should be a path to achieve it. At Gainsight, we’re passionate about achieving our goals—at the office and everywhere—and we work every day to create an environment that nurtures our best selves. Gainsters love working here for several reasons. Here are a few: Our Core Values: We are guided by our values on our mission to be living proof you can win in business while being human-first. Learn more here. Our CEO: With a 99% approval rating on Glassdoor, Nick Mehta is one of the most beloved CEOs in Silicon Valley. Our Growth Opportunities: From mentoring to career development opportunities, we’re passionate about helping our Gainsters learn, grow and thrive. Our Teammate Resource Groups: A huge source of pride for Gainsight, these groups are on a mission to put our values into action and make Gainsight a great place to work for all. Our Wellness Priorities: Quarterly Recharge Days that re-energize us. Our Parody Videos: No explanation needed. Just watch them here! Job Description Summary By joining the Gainsight team, you’ll have a unique opportunity to make your mark at a truly human-first company and have loads of fun doing it. Come join us! Show more Show less

About the Job As an AI/ML Engineer, you will be responsible for designing, validating, and integrating cutting-edge machine learning models and algorithms. Collaborate closely with cross-functional teams, including data scientists, to recognize and establish project objectives. Oversee data infrastructure maintenance, ensuring streamlined and scalable data operations. Stay updated with advancements in AI and propose their integration for operational enhancement. Effectively convey detailed data insights to non-technical stakeholders. Uphold stringent data privacy and security protocols. Engage in the full lifecycle of AI projects, spanning from ideation through deployment and continuous upkeep. Core Responsibilities Develop, validate, and implement machine learning models and algorithms. Collaborate with data scientists and other stakeholders to understand and define project goals. Maintain data infrastructure and ensure scalability and efficiency of data-related operations. Stay abreast of the latest developments in the field of AI/Client and recommend ways to implement them in our operations. Communicate complex data findings in a clear and understandable manner to non-technical stakeholders. Adhere to data privacy and security guidelines. Participate in the entire AI project lifecycle, from concept to deployment and maintenance. Required Skills Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals. Solid theoretical understanding of machine learning. Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth, and compute. Experience with Vector databases like Chroma Db, Pinecone, PGVector or similar Experience with Large language Models like GPT 3.5, GPT 4, GPT 4.o, Llama, Gemini, Mistral etc. Experience in LLM integration framework like langchain, Llamaindex, AgentGPT etc Experience with ML Models from definition to deployment, including training, quantization, sparsity, model preprocessing, and deployment. Proficiency in Python development in a Linux environment and using standard development tools. Experience with deep learning frameworks (such as PyTorch, Tensorflow, Keras, Spark). Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). Experience in training, tuning, and deploying ML models for Computer Vision (e.g., ResNet), and/or Recommendation Systems (e.g., DLRM). Experience deploying ML workloads on distributed systems. Self-motivated team player with a strong sense of ownership and leadership. Strong verbal, written, and organizational skills for effective communication and documentation. Research background with a publication record. Work experience at a cloud provider or AI compute/sub-system company. Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud. Experience with information security and secure development best practices. Qualifications Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field. 2-4 yrs of hands-on experience in AI/ML Show more Show less

Kolkata,West Bengal,India Job ID 763067 Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Compensation: INR 2 crore per year including incentives Strictly please do NOT apply if you have not built 1-2 SLM for clients before. Multiplier AI is a leader in AI accelerators for life sciences and is due for listing. About the Role We are seeking a seasoned and forward-thinking Head for AI and SLM to spearhead Small Language Model (SLM) implementation projects across enterprise and industry-specific use cases. This is a high-impact leadership role that combines deep technical expertise with strategic consulting to deliver scalable, efficient, and secure SLM solutions. Key Responsibilities Lead end-to-end design and deployment of Small Language Models (SLMs) in production environments. Define architecture for on-device or private-cloud SLM deployments, optimizing for latency, token cost, and privacy. Collaborate with cross-functional teams (data, MLOps, product, security) to integrate SLMs into existing systems and workflows. Select and fine-tune open-source or custom SLMs (e.g., Phi-3, TinyLlama, Mistral) for targeted business use cases. Mentor engineering and data science teams on best practices in efficient prompt engineering, RAG pipelines, quantization, and distillation techniques. Act as a thought partner to leadership and clients on GenAI roadmap, risk management, and responsible AI design. Required Skills & Experience Proven experience in deploying Small Language Models in production (not just large-scale LLMs). this is essential do not apply if not done it Strong understanding of transformer architecture, tokenizer design, and parameter-efficient fine-tuning (LoRA, QLoRA). Hands-on with HuggingFace, ONNX, GGUF, and GPU/CPU/edge model optimization techniques. Experience integrating SLMs into real-world systems—mobile apps, secure enterprise workflows, or embedded devices. Background in Python, PyTorch/TensorFlow, and familiarity with MLOps tools like Weights & Biases, MLflow, and LangChain. Strategic mindset to balance model performance vs. cost vs. explainability . Preferred Qualifications Prior consulting experience with AI/ML deployments in pharma, finance, or regulated sectors. Familiarity with privacy-preserving AI, federated learning, or differential privacy. Contributions to open-source LLM/SLM projects. What We Offer Leadership in shaping the future of lightweight AI. Exposure to cutting-edge GenAI applications across industries. Competitive compensation and equity options (for permanent roles). Show more Show less

About GradRight GradRight is the world’s first SaaS ecosystem that brings together students, universities and financial institutions on one platform. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner. Our vision is to be the world’s leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all. We have enabled 250,000+ students to get the best deals on $ 4+ Billion of loan requests and facilitated disbursements of more than $ 450+ Million in loans. We enable 50+ universities across US, Europe, Canada to develop their brand in India, attract the right students to apply and enroll for their Graduate programs. It has commenced a new business line of marketing, enrolling and managing the Online Programs for its university partners. Founded in 2019, GradRight has offices across Hyderabad, Gurgaon, Bangalore, Delhi and Washington DC . GradRight’s team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions like Ashoka, Krea and Plaksha University. It is led by alumni of IIT Delhi, ISB Hyderabad and BITS Pilani and University of Pennsylvania. GradRight is also the winner of the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India. At GradRight, we are transforming how students explore and access higher education abroad using technology and data. We're building smart, AI-powered tools that help match students to the best-fit universities and financial options. Join us to shape the future of student decision-making. Role Overview We're looking for an AI Developer who can design, build, and optimize intelligent systems like voicebots / chatbots, and recommend agents using state-of-the-art AI models and APIs. You should be comfortable working with foundation models (OpenAI, Gemma 3.0, DeepSeek R1, etc.), embeddings, vector databases, and building end-to-end AI applications that serve real users. Key Responsibilities Design and implement AI-powered systems using APIs such as OpenAI (GPT-4), Gemma 3.0, Claude, DeepSeek R1, etc. Build and fine-tune bots (chat, voice, or hybrid) that can understand and respond intelligently in natural language. Use vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) to implement RAG (Retrieval-Augmented Generation) pipelines. Generate and use embeddings to enhance semantic search, personalization, or recommendation engines.Integrate AI modules into backend systems (Python/NodeJS preferred), web apps, or mobile apps. Optimize model calls and prompt engineering for cost, latency, and performance.Continuously evaluate emerging AI models and tools to keep our stack cutting-edge. Work closely with product and data teams to ship AI features with real impact. Required Skills & Experience Solid experience building AI-powered applications or bots using OpenAI / Claude / Gemini / DeepSeek or open-source LLMs. Proficiency with embeddings and semantic search use cases.Hands-on experience with vector databases like Pinecone, Weaviate, or Qdrant.Familiarity with LLMOps concepts and prompt engineering. Strong coding background in NodeJS (preferred) or Python.Comfortable working with REST APIs and building end-to-end pipelines.Experience deploying and monitoring AI systems in production. Nice-to-Have Experience with LangChain/LlamaIndex/Haystack.Prior work with open-source models (Gemma, Mistral, Ollama, etc.). Exposure to CI/CD, Docker, and cloud platform (AWS). Show more Show less

At Apple, new ideas have a way of becoming extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don't just craft products - they build the kind of wonder that's revolutionised entire industries!. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Description We are seeking a highly skilled and motivated Machine Learning Engineer with a solid focus on Large Language Models (LLMs) and text processing. In this role, you will work on building, fine-tuning, optimising, and deploying LLMs for real-world applications. You'll also be responsible for generating scripts using LLMs, customising models using platforms like Ollama, and integrating them into robust applications. Design and implement solutions leveraging LLMs for text generation, understanding, summarisation, classification, and extraction tasks. Build pipelines to automate script generation for business or technical workflows using LLMs. Customise and fine-tune LLMs using domain-specific data with tools like Ollama and LoRA/QLoRA. Optimize LLMs for inference speed, accuracy, and resource efficiency (quantisation, pruning, etc.). Integrate LLM functionalities into end-user applications with a strong emphasis on usability and performance. Collaborate with product, design, and engineering teams to translate business requirements into ML-based solutions. Develop APIs and micro-services for model serving and deployment. Monitor model performance and implement continuous improvement and retraining strategies. Stay updated with the latest research and trends in the LLM space and propose innovative ideas. Minimum Qualifications 5+ years of experience in ML/NLP with a focus on large language models and text data with Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., Pinecone, FAISS). Strong programming skills in Python, including popular ML/NLP libraries (e.g., HuggingFace Transformers, PyTorch, LangChain). Experience with LLM customisation and fine-tuning (e.g., on GPT, LLaMA, Mistral, Mixtral) and Hands-on experience with Ollama or similar tools for local/custom model deployment. Demonstrable ability to optimize model performance for production environments. Solid grasp of REST APIs, application development, and software engineering standard processes. Preferred Qualifications Experience working with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) is a plus. Exposure to frontend/backend development for building LLM-powered dashboards or assistants. Understanding of MLOps, model versioning, and continuous improvement practices. Submit CV

Job Type: Full-time, Permanent Job mode: On-Site/Hybrid Joining: Open to immediate joiners and candidates available within 1-2 weeks. Sense7AI Data Solutions is seeking a highly skilled and forward-thinking AI/ML Engineer to join our dynamic team. You will play a critical role in designing, developing, and deploying state-of-the-art AI solutions using both classical machine learning and cutting-edge generative AI technologies. The ideal candidate is not only technically proficient but also deeply familiar with modern AI tools, frameworks, and prompt engineering strategies. Key Responsibilities Design, build, and deploy end-to-end AI/ML solutions tailored to real-world business challenges. Leverage the latest advancements in Generative AI, LLMs (e.g., GPT, Claude, LLaMA), and multimodal models for intelligent applications. Develop, fine-tune, and evaluate custom language models using transfer learning and prompt engineering. Work with traditional ML models and deep learning architectures (CNNs, RNNs, Transformers) for diverse applications such as NLP, computer vision, and time-series forecasting. Create and maintain scalable ML pipelines using MLOps best practices. Collaborate with cross-functional teams (data engineers, product managers, business analysts) to understand domain needs and translate them into AI solutions. Stay current on the evolving AI landscape, including open-source tools, academic research, cloud-native AI services, and responsible AI practices. Ensure AI model transparency, fairness, bias mitigation, and compliance with data governance standards. Required Skills & Qualifications Education: Any degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 3 – 5 years of hands-on experience in AI/ML solution development, model deployment, and experimentation. Technical Proficiency: Programming: Python (strong), familiarity with Bash/CLI, and Git . Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn . GenAI & LLM Tools: LangChain, OpenAI APIs, Anthropic, Vertex AI, PromptLayer, Weights & Biases. Prompt Engineering: Experience crafting, testing, and optimizing prompts for LLMs across multiple platforms. Cloud & MLOps: AWS/GCP/Azure (SageMaker, Vertex AI, Azure ML), Docker, Kubernetes, MLflow. Data: SQL, NoSQL, BigQuery, Spark, Hadoop; data wrangling, cleansing, and feature engineering. Strong grasp of model evaluation techniques, fine-tuning strategies, and A/B testing. Preferred Qualifications Experience with AutoML , reinforcement learning, vector databases (e.g., Milvus, FAISS), or RAG (Retrieval-Augmented Generation). Familiarity with deploying LLMs and GenAI systems in production environments. Hands-on experience with open-source LLMs and fine-tuning (e.g., LLaMA, Mistral, Falcon, Open LLaMA). Understanding of AI compliance, data privacy, ethical AI, and explainability (XAI). Strong problem-solving skills and the ability to work in fast-paced, evolving tech landscapes. Excellent written and verbal communication in English. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Experience: Machine learning: 3 years (Preferred) AI: 3 years (Preferred) Work Location: In person

Prime is a cutting-edge Edtech startup focused on building intelligent, autonomous AI agents that collaborate in multi-agent systems. We create agent-based architectures that enable autonomous decision-making and seamless cooperation to solve complex problems. Join us to help pioneer the future of decentralized AI! We are a fast-growing Edtech company driven by innovation, collaboration, and adaptability. Our mission is to deliver cutting-edge solutions that align with market demands and technical feasibility. Role Overview As a Multi-Agent Systems Architect at Prime Corporate, you will design and develop multi-agent architectures that empower AI agents to work together autonomously. You will be responsible for creating scalable, robust systems that enable agents to communicate, negotiate, and collaborate effectively, driving innovation in AI-driven automation. Key Responsibilities • Design and implement multi-agent system architectures that enable autonomous decision- making and collaboration among AI agents. • Develop agent-based frameworks that support task allocation, communication protocols, and coordination strategies. • Build and optimize agent communication layers using APIs, vector databases, and messaging protocols. • Integrate large language models (LLMs) and other AI components into agent workflows to enhance capabilities. • working directly with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, etc.). • Collaborate closely with product, engineering, and research teams to translate business requirements into technical solutions. • Ensure scalability, reliability, and fault tolerance of multi-agent systems in production environments. • Continuously research and apply the latest advances in multi-agent systems, decentralized AI, and autonomous agents. • Document architecture designs, workflows, and implementation details clearly for team collaboration and future reference. What We’re Looking For: • Practical experience designing and building multi-agent systems or agent-based architectures. • Proficiency in Python and familiarity with AI/ML frameworks (e.g., LangChain, AutoGen, HuggingFace). • Understanding of decentralized control, agent communication protocols, and emergent system design. • Experience with cloud platforms (AWS, GCP, Azure) and API integrations. • Strong problem-solving skills and ability to work independently in a remote startup environment. • No formal degree required - your skills, projects, and passion matter most. Location - 100% Remote Experience - 0-1 year Compensation Structure : This role follows a structured pathway designed to prepare candidates for the responsibilities of a full-time position. • Pre-Qualification Internship (Mandatory): • Duration: 2 months • Stipend: ₹5,000/month • Objective: To evaluate foundational skills, work ethic, and cultural fit within the organization. • Internship (Mandatory) • Duration: 4 months • Stipend: ₹5,000–₹15,000/month (based on performance during the pre-qualification internship) Why Join Prime Corporate? • Work remotely with a passionate, innovative startup. • Contribute to pioneering multi-agent AI systems shaping the future of autonomous technology. • Grow your career from internship to full-time with competitive pay and equity opportunities. • Career Growth: Prove your potential and secure a full-time role with competitive compensation. Note: This is not a direct full-time job opportunity. Candidates must commit to our mandatory two- stage internship process. If you’re genuinely interested in joining us, we’d love to hear from you! Ready to build the future of autonomous AI? Apply now and join Prime Corporate mission! Show more Show less

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking Ruby Frontend Engineers to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Our Client is building category-defining AI companionship products — already reaching 30M+ users in just 18 months. Now, they’re scaling to 100M+ and beyond. We’re looking for exceptional Ruby on Rails Frontend Engineers to join their world-class remote team and help deliver seamless, high-performance experiences to a global audience. As a Ruby Frontend Engineer, you will: Build and refine frontend experiences using Hotwire (Turbo, Stimulus) Translate product specs into fluid, performant UI Collaborate with backend engineers and designers for full-stack features Focus on speed, interactivity, and user-centric design Own frontend code quality, accessibility, and UX polish 3+ years as a Rails engineer with a frontend/UI focus Hands-on experience with Stimulus, TurboStreams, TurboFrames Passion for delightful user experiences and frontend performance Experience with large-scale, consumer-facing applications High attention to detail and design sensitivity Fluent English, clear communication, and comfort with NSFW content Job Highlights: 4 weeks paid time off $200 annual wellbeing budget Company-provided laptop Access to GPT-4, Mistral, Hugging Face Pro Annual team offsite

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! 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 contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face 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! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! 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 contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face 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! Show more Show less

About the Role We are looking for a Senior LLM (Large Language Models) Engineer to design, build, and optimize intelligent agents powered by Large Language Models (LLMs). You will work on cutting-edge AI applications , pre-train LLMs, fine-tune open-source models, integrate multi-agent systems, and deploy scalable solutions in production environments. Key Responsibilities – (Must Have) Develop and fine-tune LLM-based modesl and AI agents for automation, reasoning, and decision-making. Build multi-agent systems that coordinate tasks efficiently. Design prompt engineering, retrieval-augmented generation (RAG), and memory architectures . Optimize inference performance and reduce hallucinations in LLMs. Integrate LLMs with APIs, databases, and external tools for real-world applications . Implement reinforcement learning with human feedback (RLHF) and continual learning strategies. Collaborate with research and engineering teams to enhance model capabilities. Requirements 5+ years in AI/ML, with at least 2+ years in LLMs, or AI agents . Strong experience in Python, LangChain, LlamaIndex, Autogen, Hugging Face, etc. Experience with open-source LLMs (LLaMA, Mistral, Falcon, etc.) . Hands-on experience in LLM deployments with strong inference capabilities using robust frameworks such as vLLM. building multi-modal RAG systems. Knowledge of vector databases (FAISS, Chroma) for retrieval-based systems. Experience with LLM fine-tuning, downscaling, prompt engineering, and model inference optimization . Familiarity with multi-agent systems, cognitive architectures, or autonomous AI workflows . Expertise in cloud platforms (AWS, GCP, Azure) and scalable AI deployments . Strong problem-solving and debugging skills. Nice to Have Contributions to AI research, GitHub projects, or open-source communities . Experience with open-source LLMs (LLaMA, Mistral, Falcon, etc.) . Knowledge of Neural Symbolic AI, AutoGPT, BabyAGI, or similar frameworks . Job Type: Full-time Pay: ₹20,000.00 - ₹70,000.00 per month Schedule: Day shift Work Location: In person