16 Transformerbased Models Jobs

You are a skilled Generative AI Developer with expertise in Large Language Models (LLMs), prompt engineering, and modern GenAI solution design. You should be proficient in working with Retrieval-Augmented Generation (RAG), Agents frameworks, and AWS Bedrock, with a fundamental understanding of LLMOps practices. Additionally, having proficiency in Streamlit for developing quick front-end prototypes of GenAI applications is highly desirable. Your responsibility will include developing and maintaining GenAI solutions using LLMs, RAG pipelines, and agent-based workflows. You will integrate LLMs into applications using APIs and cloud-based services like AWS Bedrock. It is essential to conduct experiments and research on the latest GenAI advancements and implement proof-of-concepts (PoCs). Collaborating with architects, data engineers, and DevOps teams to build scalable GenAI solutions will also be a part of your role. In terms of technical requirements, you should have a total of 6-8 years of experience with at least 3+ years of hands-on experience in AI/ML or NLP. Hands-on experience with LLMs such as GPT, Claude, LLaMA, Mistral is crucial. Understanding of RAG workflows, experience with vector databases like FAISS, Pinecone, OpenSearch, and exposure to agent frameworks is necessary. Familiarity with AWS Bedrock, prompt orchestration tools, and basic LLMOps practices are also essential. Your expertise in prompt engineering, proficiency in Streamlit, strong programming skills in Python, and experience with REST APIs are required. Preferred skills include exposure to document processing pipelines, unstructured data extraction, knowledge of MLOps, CI/CD tools, and prior experience in integrating GenAI into real-world applications. Soft skills that are important for this role include strong analytical and problem-solving skills, curiosity and initiative in researching new GenAI trends, and good communication and collaboration skills, especially in a cross-functional team environment.,

We are looking for a passionate and skilled Generative AI Specialist with expertise in state-of-the-art AI models and tools to become a valuable member of our team. The ideal candidate should have hands-on experience with transformer-based models, prompt engineering, and fine-tuning large language models (LLMs) for practical applications. As a Generative AI Specialist, your responsibilities will include designing, developing, and implementing Generative AI solutions using models such as GPT, Llama, Claude, and other open-source resources. You will be expected to fine-tune and optimize pre-trained models on specific datasets, build and evaluate prompts, and create retrieval-augmented generation (RAG) pipelines for various LLM applications. Additionally, you will work on developing multimodal models that combine text, image, and/or audio data based on project requirements, collaborating with product, data science, and engineering teams to integrate AI capabilities into our products. It is important to stay updated with the latest developments in generative AI and apply them to solve business problems effectively. Furthermore, you will be responsible for maintaining model performance through testing, benchmarking, and continuous improvements. Key Skills Requirements: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field - Demonstrated expertise in on-premises infrastructure and technologies - 1-3 years of practical experience with Natural Language Processing (NLP) or generative AI models - Proficiency in Python and machine learning frameworks like PyTorch or TensorFlow - Hands-on experience with tools such as Hugging Face Transformers, LangChain, or LlamaIndex - Deep understanding of model fine-tuning, embeddings, and vector databases (e.g., FAISS, Pinecone) - Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure - Strong analytical and problem-solving skills with a collaborative mindset for fast-paced environments - Experience in diffusion models, image/video generation, or speech synthesis - Knowledge of MLOps tools and end-to-end model deployment pipelines - Contributions to open-source AI/ML projects are highly valued Join us at Beinex and enjoy a range of perks including comprehensive health plans, learning and development opportunities, workation and outdoor training, a hybrid working environment, and on-site travel opportunities. Be part of a dynamic team that values innovation and growth.,

Neuron7.ai is a rapidly growing AI-first SaaS company that focuses on creating a category-defining service intelligence product. Backed by top venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, Neuron7.ai is recognized as a startup to watch. Our rapid traction in the market underscores our mission to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts. In complex service environments such as high-tech devices, manufacturing, and medical devices, Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at Neuron7.ai. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. As a Staff Data Scientist at Neuron7.ai, you will lead the design, development, and deployment of NLP-driven solutions for processing and analyzing large volumes of unstructured data. You will bring a deep technical skill set and a passion for innovation to launch impactful AI products to live users. In addition, you will serve as a mentor to junior team members and collaborate closely with cross-functional teams and customers. Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale. Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn. Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS. Collaborate with data engineering teams to ensure seamless integration of AI models into production systems. Perform advanced SQL analytics to extract actionable insights from structured datasets. Stay up-to-date with the latest advancements in NLP and machine learning techniques. Mentor junior data scientists and foster a culture of technical excellence within the team. Communicate complex technical concepts to non-technical stakeholders and customers. Partner with customers to understand their needs and translate them into technical solutions. Minimum 8 years of experience in data science, with a focus on NLP and unstructured data processing. Proven track record of launching NLP-driven products to live users. Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn. Experience with Transformer-based models (e.g., BERT, GPT). Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products. Familiarity with data engineering pipelines and best practices. Proficiency in SQL for analytics and data manipulation. Excellent problem-solving skills and ability to work with large-scale datasets. Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively. Preferred Skills: Knowledge of MLOps practices for model deployment and monitoring. Familiarity with tools like Airflow, Spark, or similar data processing frameworks. Background in working with customer-facing applications and APIs. At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses. Paid sick leave. Latest MacBook Pro for your work. Comprehensive health insurance. Paid parental leave. Work from our vibrant Bengaluru office. If you're excited about building innovative backend solutions and want to be part of a forward-thinking team, we'd love to hear from you!,

You are an experienced Data Scientist with 2-4 years of hands-on experience in developing machine learning and deep learning models, specifically in the domain of text analytics and natural language processing (NLP). You will be responsible for taking ownership of the entire process, from understanding requirements to proposing and designing effective solutions. This role requires a professional capable of developing innovative projects in NLP, text analytics, and text generation. Your key responsibilities will include collaborating with stakeholders to gather and understand business requirements, proposing and designing innovative solutions using machine learning and deep learning techniques, developing and validating models for text analytics, NLP, and text generation applications, analyzing and assessing the effectiveness of solutions through testing and validation, conducting comprehensive data analysis and statistical modeling to extract insights and drive data-driven decision-making, communicating insights and results clearly to both technical and non-technical audiences, staying updated on industry trends and advancements in data science and NLP, and mentoring and guiding juniors to foster a culture of continuous learning and improvement. Required Skill Set: - Good analytical skills and an inherent ability to solve problems. - Bachelors or masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - Proven expertise in text analytics, NLP, machine learning, and deep learning. - Strong proficiency in Python, demonstrating algorithmic thinking. - Proven experience with machine learning libraries such as NLTK, spaCy, Scikit-learn, Pandas, and NumPy. - Experience in training and validating models using deep learning frameworks like TensorFlow or PyTorch, including Hugging Face. - Experience in tuning and validating models from the families of BERT, T5, BART, or FLAN-T5. - Experience in performing hyperparameter tuning in at least one project. Good To Have Skill Set: - In-depth knowledge of the fundamentals of transformer-based models and related techniques. - Hands-on experience with generative models (e.g., GANs, VAEs, GPT). - Experience developing with frameworks like LangChain and LlamaIndex. - Other GenAI related skills include RAG pipeline design, Multi-agentic solution.,

Neuron7.ai is a rapidly growing AI-first SaaS company focused on creating a category-defining service intelligence product. Backed by top venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, Neuron7.ai is recognized as a startup to watch. The company's swift traction in the market underscores its mission to empower enterprises to make accurate service decisions at scale. The AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data alongside insights from leading experts. In complex service environments such as high-tech devices, manufacturing, and medical devices, Neuron7.ai helps service leaders excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you will be part of a dynamic and innovative team that is redefining service intelligence. The company values creativity, collaboration, and a commitment to pushing boundaries. As a Staff Data Scientist at Neuron7.ai, you will lead the design, development, and deployment of NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your role will involve designing, training, and optimizing machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn. You will also architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS, collaborating closely with data engineering teams to ensure seamless integration of AI models into production systems. Additionally, you will perform advanced SQL analytics to extract actionable insights from structured datasets and stay up-to-date with the latest advancements in NLP and machine learning techniques. Mentoring junior data scientists, fostering a culture of technical excellence within the team, and effectively communicating complex technical concepts to non-technical stakeholders and customers are also key aspects of the role. Neuron7.ai is looking for a candidate with a minimum of 12 years of experience in data science, with a focus on NLP, LLM, and unstructured data processing. The ideal candidate should have a proven track record of launching NLP-driven products to live users, expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn, and experience with Transformer-based models (e.g., BERT, RAG, GPT, Gen AI), among other requirements. Strong interpersonal and communication skills, proficiency in SQL for analytics and data manipulation, and the ability to work with large-scale datasets are also essential qualifications. Preferred skills for the role include knowledge of MLOps practices for model deployment and monitoring, familiarity with tools like Airflow, Spark, or similar data processing frameworks, and a background in working with customer-facing applications and APIs. At Neuron7.ai, integrity, innovation, and a customer-centric approach are prioritized values. The company's mission is to enhance service decision-making through advanced AI technology, delivering excellence in all aspects of its work. Company perks and benefits at Neuron7.ai include a competitive salary, equity, and spot bonuses, paid sick leave, a latest MacBook Pro for work, comprehensive health insurance, paid parental leave, and the opportunity to work from the vibrant Bengaluru office in a hybrid model. If you are excited about building innovative backend solutions and want to be part of a forward-thinking team, Neuron7.ai would love to hear from you.,

As an AIML - LLM Gen AI Engineer, your primary responsibility will be to design, develop, and implement solutions using transformer-based models for various Natural Language Processing (NLP) tasks. This includes tasks such as text generation, summarization, question answering, classification, and translation. You will be working extensively with transformer models like GPT, BERT, T5, RoBERTa, and similar architectures. Your deep understanding of model architectures, attention mechanisms, and self-attention layers will be crucial in effectively utilizing Large Language Models (LLMs) to generate human-like text. You will lead efforts in fine-tuning pre-trained LLMs and other transformer models on domain-specific datasets to optimize performance for specialized NLP tasks. In your role, you will apply your knowledge of attention mechanisms, context windows, tokenization, and embedding layers in model development and optimization. It will be essential to address and mitigate issues related to biases, hallucinations, and knowledge cutoffs that can impact LLM performance and output quality. You will craft clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including the use of instruction-based prompting. Additionally, you will implement and experiment with zero-shot, few-shot, and many-shot learning techniques to maximize model performance without extensive retraining. Your iterative approach to prompt engineering strategies will involve refining outputs, rigorously testing model performance, and ensuring consistent and high-quality results. You will also be responsible for creating prompt templates for repetitive tasks that are adaptable to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting will enable you to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Your contribution will span the entire lifecycle of machine learning models in an NLP context, including training, fine-tuning, and deployment. **Required Skills & Qualifications:** - A minimum of 8 years of experience working with transformer-based models and NLP tasks, focusing on text generation, summarization, question answering, classification, and similar applications. - Proficiency in transformer models such as GPT, BERT, T5, RoBERTa, and foundational models. - Strong familiarity with model architectures, attention mechanisms, and self-attention layers for generating human-like text. - Proven experience in fine-tuning pre-trained models on domain-specific datasets for various NLP tasks. - Knowledge of attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs affecting LLM performance. - Ability to craft clear, concise, and contextually relevant prompts for LLMs. - Experience in zero-shot, few-shot, and many-shot learning techniques. - Proficiency in Python and NLP libraries like Hugging Face Transformers, SpaCy, NLTK. - Solid experience in training, fine-tuning, and deploying ML models in an NLP context. - Strong problem-solving skills and analytical mindset. - Excellent communication and collaboration abilities for remote or hybrid work environments. - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field. This role requires a combination of technical expertise in AI/ML, NLP, and transformer models, along with strong problem-solving and communication skills to achieve effective results in the field.,

As an LLM Engineer, your primary responsibility will be to develop, fine-tune, and deploy large-scale natural language models such as GPT, BERT, and similar transformer-based architectures. You will collaborate closely with data scientists, AI researchers, and software engineers to create cutting-edge language models that drive innovative solutions across various applications like chatbots, summarization, translation, and more. Your key responsibilities will include building and fine-tuning large language models to address specific business challenges, ensuring they meet performance standards. You will also be involved in curating, preprocessing, and augmenting datasets to enhance model training and generalization. Furthermore, deploying and managing LLMs in production environments using tools like Docker, Kubernetes, or cloud platforms will be part of your role. Post-deployment, you will continuously monitor model performance, striving to enhance accuracy, diminish bias, and optimize latency. It is imperative to stay updated with the latest NLP and transformer advancements, implementing state-of-the-art techniques to elevate model efficiency. Collaboration is crucial as you will work closely with cross-functional teams, including data engineers, front-end developers, and product managers, to deliver robust AI solutions. Developing mechanisms to make model outputs comprehensible to non-technical stakeholders is essential. You will also optimize large-scale models for efficient inference and scalability across distributed systems. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python, familiarity with libraries like TensorFlow, PyTorch, Hugging Face Transformers, and other NLP frameworks is essential. Hands-on experience with large-scale language models, NLP expertise, and proficiency in cloud environments are crucial. Additionally, strong communication skills, teamwork, and the ability to work in collaborative, fast-paced environments are vital for success. Preferred skills include knowledge of transformer-based models, LLM scaling strategies, contributions to the NLP research community, familiarity with prompt engineering, and an understanding of reinforcement learning techniques for enhancing LLM interaction quality.,

As an AI Developer specializing in Large Language Models (LLMs) with a focus on EdTech, you will play a crucial role in developing cutting-edge AI solutions to revolutionize learning experiences and educational outcomes. You will work with tools like Claude.ai, Perplexity.ai, and Anthropics" AI systems to create innovative features that enhance adaptive learning, content personalization, and intelligent tutoring within EdTech platforms. Your responsibilities will include developing and integrating AI solutions, designing AI applications tailored to the education sector, training and fine-tuning LLMs for specific EdTech use cases, and leveraging AI tools to create interactive learning experiences. You will also stay updated on the latest advancements in AI and EdTech, conduct research on implementing state-of-the-art solutions, and collaborate with cross-functional teams to deliver AI-powered features. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. will be advantageous. Your technical skills should encompass expertise in Claude.ai, Perplexity.ai, and Anthropics systems, proficiency in Python and AI frameworks like TensorFlow and PyTorch, and a deep understanding of NLP techniques and transformer-based models. Experience with API integrations and deploying AI/ML models in production environments is essential. Furthermore, your EdTech experience should demonstrate your ability to address challenges such as accessibility, data privacy regulations (e.g., FERPA, GDPR), and scalability within educational platforms. Strong analytical, problem-solving, and communication skills are required to effectively explain complex AI concepts to both technical and non-technical stakeholders. A collaborative mindset and a passion for leveraging AI to enhance education will set you up for success in this role. Preferred qualifications include familiarity with adaptive learning systems, gamification in education, or chatbot implementations, as well as experience working with cloud platforms like AWS, GCP, or Azure. Prior involvement in projects involving real-time interactions through AI integration will be beneficial for this position.,

You are a highly skilled Lead Backend Engineer with 7-10 years of experience, possessing a strong command over Java and Python along with a deep understanding of GenAI and Large Language Models (LLMs). At Team Geek Solutions, we are innovators driven by cutting-edge technology, aiming to solve real-world problems using scalable backend systems and next-gen AI. Our collaborative and forward-thinking culture values every engineer's role in building impactful products. As a Lead Backend Engineer, you will be responsible for leading a team of developers and data scientists to design scalable backend architectures and AI-driven solutions, leveraging the latest advancements in AI capabilities. Your key responsibilities will include leading and mentoring a team of backend and AI engineers, architecting and developing robust backend solutions using Java and Python, solving complex problems using structured and unstructured data, and implementing state-of-the-art LLMs such as OpenAI and HuggingFace models. You will also be involved in utilizing techniques like Retrieval-Augmented Generation (RAG) to enhance the performance and capabilities of LLM-based systems, as well as owning the development of end-to-end ML pipelines encompassing training, fine-tuning, evaluation, deployment, and monitoring (MLOps). Collaboration with business and product teams to identify use cases and deliver AI-powered solutions is another crucial aspect of your role. The required skills for this position include proficiency in Java and Python, a solid understanding of Data Structures & Algorithms, deep experience in Transformer-based models, LLM fine-tuning, and deployment, hands-on experience with PyTorch, LangChain, and Python web frameworks such as Flask and FastAPI, strong database skills with SQL, and experience in deploying and managing ML models in production environments. Leadership experience in managing small to mid-sized engineering teams is also essential. Preferred or good-to-have skills for this role include experience with LLMOps tools and techniques, exposure to cloud platforms like AWS, GCP, or Azure for model deployment, strong written and verbal communication skills for both technical and non-technical audiences, and a passion for innovation and building AI-first products. Keeping yourself updated with the latest advancements in AI and integrating best practices into development workflows will be a key aspect of your role at Team Geek Solutions.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

As a Lead Backend Engineer at Team Geek Solutions, you will be at the forefront of innovation, working with cutting-edge technology to solve real-world problems through scalable backend systems and advanced AI solutions. You will be part of a collaborative and forward-thinking culture, where your role is crucial in creating impactful products. If you are ready to lead with purpose and innovate with passion, this is the place for you. Your primary responsibility will be to lead and mentor a team of backend and AI engineers, guiding them in building scalable backend architectures and AI-driven solutions. You will be expected to architect and develop robust solutions using Java and Python, utilizing state-of-the-art Large Language Models (LLMs) such as OpenAI and HuggingFace models. In this role, you will be solving complex problems using structured and unstructured data, applying techniques like Retrieval-Augmented Generation (RAG) to enhance the performance of LLM-based systems. You will also be responsible for developing end-to-end ML pipelines, including training, fine-tuning, evaluation, deployment, and monitoring. Collaboration with business and product teams to identify use cases and deliver AI-powered solutions will be a key aspect of your role. Staying updated with the latest advancements in AI and integrating best practices into development workflows will be essential to drive continuous innovation. To excel in this role, you should have proficiency in Java and Python, with hands-on experience in both languages. A solid understanding of Data Structures & Algorithms, along with deep experience in Transformer-based models, LLM fine-tuning, and deployment, will be necessary. Hands-on experience with PyTorch, LangChain, and Python web frameworks like Flask and FastAPI is also required. Additionally, strong database skills with SQL, experience in deploying and managing ML models in production environments, and leadership experience in managing engineering teams will be beneficial for this role. Exposure to LLMOps tools and techniques, cloud platforms like AWS/GCP/Azure, and excellent written and verbal communication skills will be considered advantageous. If you are passionate about innovation and building AI-first products, and possess the required skills and experience, we invite you to join our team at Team Geek Solutions in Noida or Indore.,

As a Lead Backend Engineer at Team Geek Solutions, you will be a key member of our innovative team dedicated to leveraging cutting-edge technology to solve real-world problems. With a focus on scalable backend systems and next-gen AI, you will lead a group of developers and data scientists in creating impactful products that push the boundaries of AI capabilities. If you are passionate about leading with purpose and driving innovation, we invite you to join us on this exciting journey. Your primary responsibilities will include leading and mentoring a team of backend and AI engineers, designing and implementing robust backend solutions using Java and Python, and utilizing state-of-the-art techniques such as Large Language Models (LLMs) and Transformer models. By leveraging tools like PyTorch, LangChain, and Flask, you will develop end-to-end ML pipelines, from training to deployment, while collaborating with cross-functional teams to deliver AI-powered solutions that address specific use cases. To excel in this role, you must possess strong proficiency in Java and Python, along with a solid understanding of Data Structures & Algorithms. Experience with Transformer-based models, LLM fine-tuning, and deployment is essential, as well as familiarity with SQL and database management. Additionally, leadership skills and the ability to manage engineering teams effectively are key requirements for this position. Preferred skills include knowledge of LLMOps tools and cloud platforms (AWS/GCP/Azure) for model deployment, as well as excellent written and verbal communication abilities. A passion for innovation and a commitment to building AI-first products will set you apart as a valuable contributor to our team. Stay informed about the latest advancements in AI and integrate best practices into your work to drive continuous improvement and growth in our organization.,

You will be working as a Lead Backend Engineer at Team Geek Solutions, a company based in Noida/Indore, with a mission to solve real-world problems using scalable backend systems and next-gen AI technologies. As part of our collaborative and forward-thinking culture, you will play a crucial role in building impactful products driven by cutting-edge technology. Your primary responsibility will be to lead a team of backend and AI engineers, guiding them in developing robust backend solutions using Java and Python. You will leverage your expertise in GenAI and Large Language Models (LLMs) to architect scalable backend architectures and AI-driven solutions, pushing the boundaries of AI capabilities. Key Responsibilities: - Lead and mentor a team of backend and AI engineers to deliver innovative solutions. - Architect and develop robust backend solutions using Java and Python. - Utilize state-of-the-art LLMs like OpenAI and HuggingFace models to build solutions using LangChain, Transformer models, and PyTorch. - Implement advanced techniques such as Retrieval-Augmented Generation (RAG) to enhance LLM-based systems. - Drive the development of end-to-end ML pipelines, including training, fine-tuning, evaluation, deployment, and monitoring (MLOps). - Collaborate with business and product teams to identify use cases and deliver AI-powered solutions. - Stay abreast of the latest advancements in AI and integrate best practices into development workflows. Required Skills: - Proficiency in Java and Python with hands-on experience in both languages. - Strong understanding of Data Structures & Algorithms. - Deep expertise in Transformer-based models, LLM fine-tuning, and deployment. - Hands-on experience with PyTorch, LangChain, and Python web frameworks (e.g., Flask, FastAPI). - Solid database skills, particularly with SQL. - Experience in deploying and managing ML models in production environments. - Leadership experience in managing small to mid-sized engineering teams. Preferred / Good-to-Have Skills: - Familiarity with LLMOps tools and techniques. - Exposure to cloud platforms like AWS/GCP/Azure for model deployment. - Excellent written and verbal communication skills suitable for technical and non-technical audiences. - A strong passion for innovation and building AI-first products. If you are a tech enthusiast with a knack for problem-solving and a drive to innovate, we welcome you to join our team at Team Geek Solutions and contribute to shaping the future of AI-driven solutions.,

As a Lead Backend Engineer at Team Geek Solutions, you will be part of an innovative team that leverages cutting-edge technology to solve real-world problems using scalable backend systems and advanced AI solutions. Our collaborative and forward-thinking culture empowers every engineer to make a significant impact by building impactful products that push the boundaries of today's AI capabilities. Your primary responsibility will be to lead and mentor a team of backend and AI engineers while architecting and developing robust backend solutions using Java and Python. You will leverage your deep understanding of GenAI and Large Language Models (LLMs) to solve complex problems using structured and unstructured data. Additionally, you will apply state-of-the-art LLMs such as OpenAI and HuggingFace models to build solutions using LangChain, Transformer models, and PyTorch. In this role, you will implement advanced techniques like Retrieval-Augmented Generation (RAG) to enhance the performance and capabilities of LLM-based systems. You will also take ownership of developing end-to-end ML pipelines, including training, fine-tuning, evaluation, deployment, and monitoring (MLOps). Collaborating with business and product teams, you will identify use cases and deliver AI-powered solutions that drive innovation and impact. To excel in this role, you should have proficiency in Java and Python, a solid understanding of Data Structures & Algorithms, and hands-on experience with Transformer-based models, LLM fine-tuning, and deployment. Strong database skills with SQL are essential, along with experience in deploying and managing ML models in production environments. Leadership experience in managing small to mid-sized engineering teams is a must-have skill. Preferred or good-to-have skills include experience with LLMOps tools and techniques, exposure to cloud platforms (AWS/GCP/Azure) for model deployment, and strong written and verbal communication skills for technical and non-technical audiences. A passion for innovation and building AI-first products will drive your success in this role. Join Team Geek Solutions if you are ready to lead with purpose and innovate with passion.,

As a Lead Backend Engineer at Team Geek Solutions, you will be responsible for leading a team of developers and data scientists to build scalable backend architectures and AI-driven solutions. You will need to have a strong command over Java and a deep understanding of GenAI and Large Language Models (LLMs) to push the boundaries of what's possible with today's AI capabilities. You will be tasked with mentoring the team, architecting and developing robust backend solutions using Java and Python, and solving complex problems using structured and unstructured data. Your role will also involve applying state-of-the-art LLMs such as OpenAI and HuggingFace models, utilizing techniques like Retrieval-Augmented Generation (RAG) to enhance performance, and owning the development of end-to-end ML pipelines including training, fine-tuning, evaluation, deployment, and monitoring (MLOps). Collaboration with business and product teams to identify use cases and deliver AI-powered solutions, staying updated with the latest advancements in AI, and integrating best practices into development workflows are key aspects of this role. Additionally, you should have proficiency in Java and Python, a solid understanding of Data Structures & Algorithms, and hands-on experience with Transformer-based models, LLM fine-tuning, PyTorch, LangChain, Python web frameworks (e.g., Flask, FastAPI), and SQL. Experience in deploying and managing ML models in production environments, leadership skills in managing small to mid-sized engineering teams, and a passion for innovation and building AI-first products are also essential requirements. Preferred skills include familiarity with LLMOps tools and techniques, exposure to cloud platforms like AWS/GCP/Azure for model deployment, and strong written and verbal communication skills for technical and non-technical audiences.,

AVIZVA is a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing the way healthcare enterprises deliver care. Since its establishment in 2011, AVIZVA has been a key strategic enabler for healthcare enterprises, enhancing their overall care delivery through tailored products and services. With over 13 years of expertise, AVIZVA has successfully engineered more than 150 products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. As an Associate Manager - Applied Machine Learning at AVIZVA, you will play a crucial role in architecting, designing, and developing advanced GenAI products and services. This position requires a strong technical background in machine learning coupled with leadership skills to drive the team towards success. Your responsibilities will include contributing to the development of Large Language Model (LLM) based products, integrating GenAI and traditional machine learning approaches to meet key product requirements. Collaboration with cross-functional teams, such as product managers and business leaders, will be essential to deliver scalable machine-learning solutions that align with business needs. Your role will involve setting clear goals and priorities for the team, overseeing the lifecycle of GenAI projects, addressing technical and operational challenges, and ensuring seamless deployment of models into production environments. Embracing a culture of continuous improvement, you will lead the team in delivering high-quality results while maintaining a collaborative work environment. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science or a related analytical field. A minimum of one year of experience in Gen AI, Agentic AI, and Large Language Models (LLMs) is required, along with hands-on experience in building RAG (Retrieval Augmented Generation) pipelines. Proficiency in NLP, NLG, Text Analytics, and working with Transformer-based models like BERT is essential. Additionally, you should have over 10 years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python, system design, and architecture. Your technical skills should encompass a strong command of Core Python, advanced Python libraries like PyTorch and FAST API, as well as experience with classification and clustering algorithms, ensemble models, and object-oriented programming. Familiarity with ORM tools, debugging, testing frameworks, front-end fundamentals, and Agile methodology will be beneficial for the role. Excellent communication and problem-solving skills are also key attributes for success in this position.,