Responsibilities:Front-End Development: Design and implement user-friendly interfaces for AI applications. Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. Optimize front-end performance and responsiveness.Back-End Development: Build scalable and efficient backend systems to support AI model deployment. Design and implement RESTful APIs for seamless communication between front-end and back-end. Integrate with cloud platforms (e.g., AWS, Azure) for infrastructure management.AI Model Development: Train and fine-tune state-of-the-art generative AI and LLM models. Leverage deep learning frameworks (e.g., TensorFlow, PyTorch) for model development. Implement efficient inference pipelines for real-time model predictions.Data Engineering: Design and maintain robust data pipelines for model training and evaluation. Preprocess and clean large-scale datasets for optimal model performance. Implement data versioning and monitoring strategies.Preferred Qualifications: Graduate degree in Computer Science, Artificial Intelligence, or a related field. 5+ years of experience in full-stack development. 2+ years of experience in AI model development, particularly with generative AI and LLMs. Strong understanding of machine learning algorithms and natural language processing. Proficiency in Python and relevant AI frameworks (e.g., TensorFlow, PyTorch). Skills: Excellent communication and collaboration skills. Ability to work independently and in a team environment. Passion for staying updated with the latest advancements in AI. Bonus Points: Experience in the Biopharma industry. Experience with model optimization techniques (e.g., quantization, pruning). Contributions to open-source AI projects. Publications in relevant AI conferences or journals.

Responsibilities: • Design and develop GenAI-based solutions using LLMs (e.g., Bedrock, OpenAI, Claude) for text, image, table, diagram, and multi-modal applications. • Implement a multi-agent system that integrates structured and unstructured data sources, including knowledge graphs, embeddings, and vector databases. • Build and deploy agentic AI workflows capable of autonomous task completion, using frameworks like LangChain, LangGraph, or CrewAI. • Perform fine-tuning, retraining, or adaptation of open-source or proprietary LLMs for specific domain tasks. • Collaborate with data scientists and domain experts to curate and preprocess training datasets. • Integrate models with scalable backend APIs or pipelines (REST, FastAPI, gRPC) for real-world applications. • Stay updated with state-of-the-art research and actively contribute to enhancing model performance and interpretability. • Optimize inference, model serving, and memory management for deployment at scale. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, Data Science, or related field. • 5+ years of hands-on experience in Deep Learning, NLP, and LLMs. • Proven experience with at least one end-to-end project involving multi-modal RAG and Agentic AI. • Proficient in Python and ML/DL libraries such as PyTorch, TensorFlow, Transformers (HuggingFace), LangChain, LangGraph, Bedrock, or similar • Experience in fine-tuning or adapting LLMs (using LoRA, QLoRA, PEFT, or full fine-tuning). • Experience in building a multi-agent system. • Strong understanding of knowledge graphs, embeddings, vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. • Strong understanding and experience of a cloud platform like AWS. • Familiarity with containerization (Docker, Kubernetes) Preferred Skills • Experience in the Biopharma industry. • Design and implement user-friendly interfaces for AI applications. • Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. • Develop scalable and efficient backend systems to support the deployment of AI models. • Integrate with cloud platforms (AWS) for infrastructure management. • Hands-on experience in vision-language models (e.g., CLIP, BLIP, LLaVA). • Publications, Kaggle competitions, or GitHub projects in GenAI Show more Show less

🔍 We're Hiring: AI Engineer / GenAI Engineer (3+ years) 📍 Location: Hyderabad (Full-time, Hybrid) 🏢 Join Our Mission to Build the Future with GenAI Are you passionate about Generative AI, LLMs , and pushing the boundaries of Agentic AI ? Do you thrive at the intersection of innovation and impact? We’re looking for a skilled AI Engineer to join our dynamic team developing multi-modal, intelligent, and autonomous AI systems that transform the way industries operate. 🚀 What You'll Do: Design and develop cutting-edge GenAI solutions using LLMs (OpenAI, Claude, Bedrock) across text, image, and tabular data. Build multi-agent AI workflows using LangChain, LangGraph, CrewAI —integrated with knowledge graphs and vector databases. Fine-tune or adapt open-source/proprietary LLMs (LoRA, QLoRA, PEFT) for domain-specific tasks. Integrate scalable APIs and pipelines using FastAPI, REST, or gRPC . Collaborate with data scientists to curate datasets and optimize real-world performance. Drive innovation by staying on top of the latest research and development in GenAI, VLMs, and RAG. ✅ What We're Looking For: 5+ years of hands-on experience in Deep Learning, NLP, and LLMs . Experience in building multi-modal RAG systems and Agentic AI solutions . Proficiency in Python , PyTorch , HuggingFace , LangChain , Bedrock , etc. Strong knowledge of embeddings, vector databases (FAISS, Chroma, Weaviate), and prompt engineering . Experience with cloud platforms (AWS) and containerization tools (Docker/Kubernetes) . ⭐ Bonus Skills: Experience in Biopharma domain Hands-on with Vision-Language Models (CLIP, BLIP, LLaVA) Strong frontend (React/Vue.js) and backend (FastAPI, Flask) experience GitHub projects, publications, or Kaggle contributions in GenAI Show more Show less

Key Responsibilities • Design, develop, and maintain automation scripts using Shell, PowerShell, and Python. • Lead infrastructure-as-code (IaC) efforts using Terraform and AWS CloudFormation for automated cloud deployments. • Manage and scale cloud infrastructure within AWS, ensuring high availability and compliance. • Write efficient and reliable SQL queries to support automation of data processing and reporting workflows. • Operationalize automations to be robust, maintainable, and production-ready. • Collaborate with DevOps and engineering teams to integrate automation into CI/CD pipelines. • Engage directly with customers for requirement gathering, solution demos, and ongoing support. • Participate in Agile ceremonies and maintain work transparency using tools like JIRA. • Document automation standards, processes, and technical workflows. Required Skills and Experience • 7+ years of IT experience, with a strong focus on automation and scripting. • Proficient in Shell, PowerShell, and Python scripting languages. • 5+ years of experience with AWS cloud automation using Terraform and CloudFormation. • Strong understanding of AWS services including EC2, S3, IAM, RDS, Lambda, and VPC. • Experience in database environments with solid skills in writing complex SQL queries. • Demonstrated ability to independently design and deploy automation solutions. • Solid understanding of DevOps practices and CI/CD pipeline integration. • Excellent verbal and written communication skills. • Proven customer interaction skills and the ability to communicate with both technical and non-technical stakeholders. • Experience working in Agile teams and familiarity with JIRA or similar tools. Preferred Qualifications • AWS Certification (e.g., AWS Certified DevOps Engineer, Solutions Architect) • Experience with containerization and orchestration (Docker, Kubernetes) • Familiarity with monitoring and logging tools like CloudWatch, Grafana, or Prometheus Show more Show less

✅ Must-Have Skills (Core to the Role): 🌐 Oracle Cloud & Data Warehouse Expertise Oracle Cloud Infrastructure (OCI): OCI Object Storage Autonomous Data Warehouse (ADW) OCI Data Integration OCI Data Catalog 🔄 ETL & Data Integration Tools Oracle Data Integrator (ODI) Informatica PowerCenter Experience in building & automating ETL pipelines 📊 Data Warehousing & Modeling Dimensional Modeling Strong understanding of Data Warehousing concepts Data Lakes, Data Validation, Ingestion, Transformation 🐍 Programming & Scripting Python (including frameworks for automation) Oracle SQL and PL/SQL Shell scripting 📅 Methodologies & Practices Agile/Scrum experience CI/CD, GitHub, DevOps practices (for data pipeline automation)

Position: Automation Engineer Experience: 7–10 Years Location: Hyderabad (Hybrid Model) Role Overview: We are seeking a highly skilled and motivated Automation Engineer to join our dynamic team. This role involves working with cross-functional teams to design, develop, and implement automation solutions that drive efficiency and scalability. Responsibilities: Design and develop automation scripts using Shell, PowerShell, and Python Manage and scale infrastructure using AWS, Terraform, and CloudFormation Write complex SQL queries for data automation workflows Integrate automation solutions into CI/CD pipelines Collaborate with stakeholders and U.S.-based teams (evening shift availability required) Maintain documentation and participate in Agile ceremonies Required Experience: 7+ years of IT experience with strong automation and scripting background Deep expertise in AWS services (EC2, IAM, Lambda, RDS, VPC, S3) Experience in Terraform, CloudFormation, and cloud deployment Proficiency in Python, Shell, PowerShell Strong DevOps understanding and CI/CD implementation Good communication and client interaction skills Preferred Qualifications: AWS Certification (e.g., DevOps Engineer, Solutions Architect) Knowledge of Docker, Kubernetes Experience with monitoring tools like Grafana, Prometheus, CloudWatch

Job Description We are seeking a seasoned SQL and RDS Database Administrator with deep expertise in MSSQL and AWS RDS to join our dynamic team. The ideal candidate will be responsible for maintaining high availability, performance, and security in a production environment, while also contributing to automation and optimization efforts. Primary Responsibilities Act as the subject matter expert in MSSQL and AWS RDS database administration Perform installation, configuration, and maintenance of MSSQL standalone & Always-On clusters from scratch Handle troubleshooting, backups, restores, replication, high availability, and security management Execute database upgrades and migrations for MSSQL standalone and Always-On configurations Tune performance and monitor database health across platforms Manage AWS services including RDS, EC2, S3, snapshots, cloning, and restorations Support AWS VPC, security groups, and DMS for seamless database operations Conduct root cause analysis, participate in major incident response (P1/P2), and lead RCA documentation Perform and support initiatives like disaster recovery drills, upgrades, patching, and mentoring of junior DBAs Required Skills & Qualifications 5+ years of hands-on experience as a DBA in production environments Strong expertise in MSSQL and AWS RDS Experience working on both Windows and Linux platforms Familiarity with PowerShell scripting for automation Secondary skills in MongoDB, and knowledge of DocumentDB and DynamoDB (preferred) Exposure to ITIL processes and tools like JIRA Proven ability to manage and troubleshoot critical production issues under pressure Excellent communication, customer handling, and relationship-building skills Innovative problem-solver with the ability to think strategically during tough scenarios (ref:hirist.tech)

We are looking for a Full-Stack AI Developer with expertise in Generative AI and Large Language Models (LLMs) to lead the design and development of AI-driven applications. This role demands strong full-stack capabilities-ranging from intuitive front-end design to training and deploying backend AI models and managing scalable infrastructure. Key Responsibilities Front-End Development : Design and build intuitive, user-friendly interfaces for AI-powered applications. Utilize modern web frameworks (e.g., React, Vue.js) to develop responsive UI/UX. Optimize front-end performance and ensure cross-browser compatibility. Back-End Development Develop robust, scalable backend systems for AI model deployment. Design and maintain RESTful APIs for seamless front-end and back-end integration. Manage cloud-based infrastructure using platforms like AWS or Azure. AI Model Development Train, fine-tune, and deploy cutting-edge generative AI and LLM models. Use frameworks such as TensorFlow and PyTorch for deep learning model development. Build efficient inference pipelines for low-latency predictions. Data Engineering Design and maintain data pipelines for model training and evaluation. Perform preprocessing and cleaning of large datasets to enhance model performance. Implement data versioning, monitoring, and reproducibility strategies. Preferred Qualifications Graduate degree in Computer Science, AI, Machine Learning, or a related field. 5+ years of full-stack development experience. 2+ years of hands-on experience in AI/ML, especially with generative AI and LLMs. Strong grasp of machine learning algorithms and NLP techniques. Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies Strong problem-solving and architectural design abilities. Excellent communication and cross-functional collaboration skills. Self-motivated with the ability to manage multiple projects simultaneously. Passion for learning and keeping up with the latest trends in AI/ML and LLMs. (ref:hirist.tech)

Position: Senior AWS DevOps Engineer Location: Hyderabad Job Overview: We are seeking an experienced DevOps Engineer to join our team supporting research applications. In this role, you will be responsible for defining architecture, designing solutions, and enabling technical integration of application components and subsystems. A key focus of your work will involve scripting in Python (or similar languages) and integrating systems across a cloud-based environment. Key Responsibilities: Design, develop, and implement CI/CD pipelines using tools like Bitbucket/GitHub and Jenkins Write clean, efficient code in Python , Groovy , or similar languages to support infrastructure and application integration Manage and automate infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation Deploy and manage containerized applications using Docker and EKS Work with a wide range of AWS services including EC2, EBS, RDS, IAM, VPC, Lambda, S3, and EKS Maintain and administer Unix/Linux and Windows servers Implement and maintain monitoring and alerting systems using Prometheus , Alert Manager , and Grafana Troubleshoot and resolve infrastructure and application issues effectively Required Skills & Experience: 7 to 12 years of hands-on experience in DevOps with core expertise in: AWS Cloud Platform Python or Groovy scripting CI/CD tools (e.g., Jenkins) Infrastructure as Code (Terraform/CloudFormation) Containerization and orchestration (Docker, EKS) Experience with system monitoring tools and alerting mechanisms Strong problem-solving and troubleshooting capabilities Nice to Have: Experience with configuration management tools like Ansible or Chef Familiarity with monitoring tools such as New Relic , PagerDuty , Splunk , or CloudWatch Strong communication and documentation skills Self-motivated with the ability to learn and adapt to new technologies independently If you're passionate about DevOps, cloud technologies, and automation, and are looking for a role where you can contribute to impactful research applications, we'd love to hear from you.

Job Description We are seeking a seasoned SQL and RDS Database Administrator with deep expertise in MSSQL and AWS RDS to join our dynamic team. The ideal candidate will be responsible for maintaining high availability, performance, and security in a production environment, while also contributing to automation and optimization efforts. Primary Responsibilities Act as the subject matter expert in MSSQL and AWS RDS database administration Perform installation, configuration, and maintenance of MSSQL standalone & Always-On clusters from scratch Handle troubleshooting, backups, restores, replication, high availability, and security management Execute database upgrades and migrations for MSSQL standalone and Always-On configurations Tune performance and monitor database health across platforms Manage AWS services including RDS, EC2, S3, snapshots, cloning, and restorations Support AWS VPC, security groups, and DMS for seamless database operations Conduct root cause analysis, participate in major incident response (P1/P2), and lead RCA documentation Perform and support initiatives like disaster recovery drills, upgrades, patching, and mentoring of junior DBAs Required Skills & Qualifications 5+ years of hands-on experience as a DBA in production environments Strong expertise in MSSQL and AWS RDS Experience working on both Windows and Linux platforms Familiarity with PowerShell scripting for automation Secondary skills in MongoDB, and knowledge of DocumentDB and DynamoDB (preferred) Exposure to ITIL processes and tools like JIRA Proven ability to manage and troubleshoot critical production issues under pressure Excellent communication, customer handling, and relationship-building skills Innovative problem-solver with the ability to think strategically during tough scenarios (ref:hirist.tech)

We are looking for a Full-Stack AI Developer with expertise in Generative AI and Large Language Models (LLMs) to lead the design and development of AI-driven applications. This role demands strong full-stack capabilities-ranging from intuitive front-end design to training and deploying backend AI models and managing scalable infrastructure. Key Responsibilities Development Design and build intuitive, user-friendly interfaces for AI-powered applications. Utilize modern web frameworks (e.g., React, Vue.js) to develop responsive UI/UX. Optimize front-end performance and ensure cross-browser Development : Develop robust, scalable backend systems for AI model deployment. Design and maintain RESTful APIs for seamless front-end and back-end integration. Manage cloud-based infrastructure using platforms like AWS or Azure. AI Model Development Train, fine-tune, and deploy cutting-edge generative AI and LLM models. Use frameworks such as TensorFlow and PyTorch for deep learning model development. Build efficient inference pipelines for low-latency Engineering : Design and maintain data pipelines for model training and evaluation. Perform preprocessing and cleaning of large datasets to enhance model performance. Implement data versioning, monitoring, and reproducibility Qualifications : Graduate degree in Computer Science, AI, Machine Learning, or a related field. 5+ years of full-stack development experience. 2+ years of hands-on experience in AI/ML, especially with generative AI and LLMs. Strong grasp of machine learning algorithms and NLP techniques. Proficiency in Python and deep learning frameworks (e.g., TensorFlow, & Competencies : Strong problem-solving and architectural design abilities. Excellent communication and cross-functional collaboration skills. Self-motivated with the ability to manage multiple projects simultaneously. Passion for learning and keeping up with the latest trends in AI/ML and LLMs (ref:hirist.tech)

Position : Senior AWS DevOps Engineer. Location : Hyderabad. Job Overview We are seeking an experienced DevOps Engineer to join our team supporting research applications. In this role, you will be responsible for defining architecture, designing solutions, and enabling technical integration of application components and subsystems. A key focus of your work will involve scripting in Python (or similar languages) and integrating systems across a cloud-based environment. Key Responsibilities Design, develop, and implement CI/CD pipelines using tools like Bitbucket/GitHub and Jenkins. Write clean, efficient code in Python, Groovy, or similar languages to support infrastructure and application integration. Manage and automate infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Deploy and manage containerized applications using Docker and EKS. Work with a wide range of AWS services including EC2, EBS, RDS, IAM, VPC, Lambda, S3, and EKS. Maintain and administer Unix/Linux and Windows servers. Implement and maintain monitoring and alerting systems using Prometheus, Alert Manager, and Grafana. Troubleshoot and resolve infrastructure and application issues effectively. Required Skills & Experience 7 to 12 years of hands-on experience in DevOps with core expertise in : AWS Cloud Platform. Python or Groovy scripting. CI/CD tools (e.g., Jenkins). Infrastructure as Code Containerization and orchestration (Docker, EKS). Experience with system monitoring tools and alerting mechanisms. Strong problem-solving and troubleshooting capabilities. Nice To Have Experience with configuration management tools like Ansible or Chef. Familiarity with monitoring tools such as New Relic, PagerDuty, Splunk, or CloudWatch. Strong communication and documentation skills. Self-motivated with the ability to learn and adapt to new technologies independently. If you're passionate about DevOps, cloud technologies, and automation, and are looking for a role where you can contribute to impactful research applications, we'd love to hear from you. (ref:hirist.tech)

We're Hiring: Purchase Executive 📍 Location: Thodupuzha 🕒 Experience: 2+ Years 🏢 Industry: Agriculture | FMCG | Retail | Food Processing Are you passionate about fresh produce and building strong vendor relationships? We're looking for a Purchase Executive to manage end-to-end procurement of vegetables directly from farmers and local markets. 💼 Key Responsibilities: ✅ Source and onboard reliable vendors and farmers ✅ Negotiate prices, terms & ensure timely procurement ✅ Monitor daily market prices & trends ✅ Coordinate with logistics and warehouse for smooth delivery ✅ Maintain records, reports, and ensure compliance 🔑 What We’re Looking For: ✔️ 2+ years of experience in procurement/agri sourcing ✔️ Strong negotiation & vendor management skills ✔️ Knowledge of local markets and supply chain coordination ✔️ Proficiency in local language & basic Excel If you're ready to make a real impact in the food supply chain, we want to hear from you!

Job Title : Senior Cloud Engineer Location : Hyderabad Experience : 5+ Years Work Mode : Hybrid About The Role We are looking for a highly skilled and motivated Senior AWS Engineer to join our team. In this role, you will be responsible for designing, deploying, and managing cloud infrastructure using Amazon Web Services (AWS). You will collaborate closely with research teams to support advanced data processing, high-performance computing (HPC), and secure data management within a pharmaceutical research setting. Key Responsibilities AWS Infrastructure Management : Design, deploy, and manage AWS cloud infrastructure. Implement and support scalable computing environments for data-intensive applications such as genomics, proteomics, and molecular modeling. Automate infrastructure deployment and management using tools like AWS CloudFormation, Terraform, or AWS CDK. High-Performance Computing (HPC) Set up and manage HPC clusters on AWS to support high-performance, compute-intensive workloads. Optimize computational resources for large-scale simulations, AI/ML workflows, and other research-related tasks. Data Management And Storage Design and manage storage solutions for large datasets using AWS services such as S3, EBS, and Glacier. Implement robust data lifecycle management strategies including backup, archiving, and retrieval to ensure data integrity and regulatory compliance. Collaboration And Technical Support Collaborate with cross-functional teams, including data scientists, bioinformaticians, and IT staff to understand AWS requirements and provide technical solutions. Troubleshoot and resolve AWS infrastructure-related issues to ensure minimal disruption to research operations. Optimization And Continuous Improvement Continuously monitor, assess, and optimize AWS infrastructure for cost efficiency, performance, and scalability. Stay updated on the latest AWS technologies and integrate relevant advancements into the : Education Bachelors degree in Computer Science, Information Technology, Engineering, or a related field. Experience 5+ years of hands-on experience working with core AWS services including EC2, S3, RDS, Lambda, VPC, and IAM. Proven experience with HPC environments and large-scale cloud-based data processing. Proficiency in infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK. Skills In-depth understanding of AWS best practices including security, cost optimization, and performance tuning. Experience with CI/CD pipelines, automation, and DevOps methodologies within AWS. Excellent troubleshooting and problem-solving skills. Strong communication skills with the ability to engage both technical and non-technical stakeholders. Preferred Qualifications AWS Certified Solutions Architect Associate or Professional. Experience working with AI/ML tools on AWS (e.g., SageMaker). Prior experience supporting pharmaceutical or life sciences clients, especially in drug discovery or research environments. (ref:hirist.tech)

Job Title : Senior Data Engineer Experience : 5-7 years Location : Hyderabad Mode : Hybrid Primary Skills Dimensional Modeling, Python Datawarehouse Development, Oracle Cloud Infrastructure (OCI). Expertise, ODI, Etl Tool, Tableau Desktop Informatica PowerCenter, Data Governance, ADW Management, Agile. Environment, Python Framework, Oracle SQL, GitHub. Job Description We are looking for a skilled Data Engineer with a strong background in Oracle Cloud Infrastructure (OCI) and Oracle Data Integration tools. The ideal candidate will have hands-on experience in building, automating, and managing robust Data Warehousing and ETL solutions. Key Responsibilities Design and implement scalable Data Warehouse and Data Lake architectures using Oracle ADW, OCI Object Storage, and Data Catalog. Build and maintain ETL pipelines using Oracle Data Integrator (ODI), OCI Data Integration and Informatica services. Understanding Data Warehousing and Dimensional Modelling concepts very well. Develop and automate data processing workflows using Python, SQL, and PL/SQL. Support data validation, ingestion, transformation, and publishing processes. Optimize performance and cost of data infrastructure on OCI. Collaborate with business and analytics teams to define data models, KPIs, and metrics. Implement data governance, security policies, and compliance standards (GxP, HIPAA, etc. Work in an Agile/Scrum environment to support project deliverables and production support. Qualifications & Skills Strong experience in Oracle Cloud Infrastructure (OCI): Object Storage, ADW, Data Catalog, Data Integration. Hands-on with ODI, Oracle Autonomous Database, and OIC (Oracle Integration Cloud). Strong skills in SQL, PL/SQL, Python, and data transformation logic. Experience with Shell scripting, Scheduling tools. Knowledge of Data lineage, Data Quality Frameworks, and Master Data Management. Familiarity with reporting/visualization tools like Tableau or APEX. Exposure to CI/CD, Git, and DevOps practices in a cloud data engineering setup. Preferred Qualifications Bachelors degree in Computer Science, Engineering, or related field. Oracle Certified Professional (OCP) or OCI Data Engineer certification is a plus. Experience in Life Sciences/Pharma, BFSI, or Regulatory Data domains. (ref:hirist.tech)

We are seeking a Full-Stack AI Developer specializing in Generative AI and Large Language Models (LLMs) to take the lead in designing and developing AI-driven applications. This role requires comprehensive full-stack skills encompassing front-end design, backend AI model training and deployment, and scalable infrastructure management. Front-End Development: - Create intuitive and user-friendly interfaces for AI-powered applications. - Utilize modern web frameworks like React and Vue.js to develop responsive UI/UX. - Optimize front-end performance and ensure cross-browser compatibility. Back-End Development: - Develop robust and scalable backend systems for AI model deployment. - Design and maintain RESTful APIs for seamless front-end and back-end integration. - Manage cloud-based infrastructure using platforms such as AWS or Azure. AI Model Development: - Train, fine-tune, and deploy cutting-edge generative AI and LLM models. - Utilize frameworks like TensorFlow and PyTorch for deep learning model development. - Construct efficient inference pipelines for low-latency predictions. Data Engineering: - Design and maintain data pipelines for model training and evaluation. - Perform preprocessing and cleaning of large datasets to improve model performance. - Implement data versioning, monitoring, and reproducibility strategies. Preferred Qualifications: - A graduate degree in Computer Science, AI, Machine Learning, or a related field. - 5+ years of full-stack development experience. - 2+ years of hands-on experience in AI/ML, particularly with generative AI and LLMs. - Strong understanding of machine learning algorithms and NLP techniques. - Proficiency in Python and deep learning frameworks like TensorFlow and PyTorch. Skills & Competencies: - Strong problem-solving and architectural design skills. - Excellent communication and cross-functional collaboration abilities. - Self-motivated with the capacity to handle multiple projects concurrently. - Passion for continuous learning and staying abreast of the latest trends in AI/ML and LLMs.,

We are searching for a Full-Stack AI Developer with specialization in Generative AI and Large Language Models (LLMs) to spearhead the design and creation of AI-driven applications. As a Full-Stack AI Developer in this role, you will be required to exhibit a broad range of capabilities, from creating user-friendly front-end interfaces to developing and deploying backend AI models and overseeing scalable infrastructure. Your responsibilities will include: Development: - Creating intuitive and user-friendly interfaces for AI-driven applications. - Using modern web frameworks like React and Vue.js to craft responsive UI/UX designs. - Ensuring optimal front-end performance and compatibility across different browsers. Backend Development: - Building robust and scalable backend systems for deploying AI models. - Establishing and managing RESTful APIs to facilitate seamless integration between front-end and back-end components. - Overseeing cloud-based infrastructure utilizing platforms such as AWS or Azure. AI Model Development: - Training, fine-tuning, and deploying state-of-the-art generative AI and LLM models. - Leveraging frameworks like TensorFlow and PyTorch for developing deep learning models. - Constructing efficient inference pipelines to achieve low-latency processing. Engineering: - Designing and managing data pipelines for model training and evaluation. - Conducting preprocessing and cleansing of extensive datasets to enhance model performance. - Implementing data versioning, monitoring, and reproducibility practices. Qualifications: - Possession of a graduate degree in Computer Science, AI, Machine Learning, or a related field. - Minimum of 5 years of experience in full-stack development. - At least 2 years of hands-on experience in AI/ML, particularly in generative AI and LLMs. - Strong understanding of machine learning algorithms and NLP techniques. - Proficiency in Python and deep learning frameworks such as TensorFlow. Competencies: - Strong problem-solving skills and aptitude for architectural design. - Excellent communication abilities and aptitude for cross-functional collaboration. - Self-motivated with the capability to handle multiple projects concurrently. - Enthusiasm for continuous learning and staying abreast of the latest developments in AI/ML and LLMs.,