632 Gen Ai Jobs - Page 4

ROLE: AI/ML - GenAI Work Mode: Hybrid Location: Chennai Requirements: Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Key Skills and Qualifications: Exposure to Generative AI and machine learning concepts and their real-world applications. Familiarity with LangChain Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG. Basic knowledge of cloud technologies and their role in AI solution deployment. Exposure to GitHub and development practices for cloud-based applications. Preferred skills: Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Key Responsibilities: Lead the design, development, and deployment of scalable Python-based applications. Collaborate with cross-functional teams including DevOps, Data Engineering, and Product. Drive architecture and solution design discussions for new components and enhancements. Implement and maintain data pipelines using Apache Airflow . Orchestrate and manage deployments on Kubernetes clusters. Integrate and monitor applications using the ELK stack. Build APIs using Flask , Django , or FastAPI . Manage and execute database migrations , especially from MS SQL to open-source DBs such as Spark or ClickHouse . Lead efforts to refactor or migrate codebases , including Java-to-Python conversions or intra-Python framework transitions . Collaborate on initiatives involving Generative AI , contributing to proof-of-concepts or production-ready modules (preferred). Required Skills & Experience: 68 years of hands-on experience in Python development . At least 3 years of experience with: Airflow (data pipeline orchestration) Kubernetes (container orchestration) ELK Stack (logging and monitoring) Flask / Django / FastAPI (web frameworks) Strong experience with database migration , especially from MS SQL to Spark/ClickHouse or other open-source DBs. Experience in code migration , particularly: From Java to Python Between Python frameworks Solid understanding of REST APIs, microservices, and application performance optimization. Preferred Skills: Hands-on experience or exposure to Generative AI technologies and models. Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Strong problem-solving, communication, and leadership skills. Experience working in agile development environments. Locations: BLR, HYD, Trivandrum, Chennai, Pune, Chandigarh, Jaipur, Mangalore

Youll need to work closely with Data Scientists, Data Engineers, UI Engineers, Software Developers, and DevOps teams to design and implement end-to-end AI/GenAI solutions. You will: Be responsible for training, integrating, and deploying AI/GenAI/ML models in Azure/AWS ecosystem. Design and implement enterprise-quality AI/GenAI/ML applications. Optimize deployed models for performance, scalability, and efficiency. Debug and troubleshoot issues in AI/GenAI/ML pipelines and systems. Monitor model performance in production and retrain as necessary to maintain accuracy. Stay conversant with the latest trends, techniques, and tools in GenAI pipelines. Experiment with state-of-the-art methods and propose innovative solutions to complex problems. Excellent written and verbal communication skills required. Technical Skills: Excellent Python, PySpark, and SQL skills. Knowledge of GenAI stack is a big plus. Experience with Azure DevOps / AWS DevOps for ML projects, Databricks, CI/CD pipelines, and repositories. Experience with Azure/AWS MLOps/Kubeflow. Experience of training and deploying AI/GenAI/ML models into production environments and integrating them with existing systems. Knowledge of containerization tools like Docker, orchestration systems like Kubernetes, and inference platforms like Kserve / NVIDIA Triton. Knowledge of Azure / AWS ETL pipelines is a plus (but not mandatory). Soft Skills: Excellent written and verbal communication. Exceptional problem-solving and multitasking skills in a fast-paced environment. Experience Level: 8+ years of experience in ML Engineering.

Role & responsibilities We are hiring experienced Data Engineers for immediate joining at our Bangalore office. If you have strong hands-on experience in PySpark and Big Data ecosystems, wed like to talk to you. What were looking for: Minimum 3 years of experience in data engineering Strong expertise in PySpark Hands-on experience with Hadoop and Big Data technologies Experience with Azure cloud platform Understanding of Gen AI concepts (preferred, not mandatory) Ability to work in fast-paced environments and deliver quickly Why join us: Immediate joining opportunity Work on enterprise-scale data projects Exposure to latest cloud and AI technologies

As a Backend AI Engineer at Zango, you will be a vital part of our core team in Bangalore, contributing to the development and scaling of the AI-powered engine that drives our compliance automation platform. Your role will involve designing, implementing, and deploying robust backend systems, as well as creating and maintaining efficient ETL pipelines for processing regulatory data. Additionally, you will play a key role in integrating generative AI models into production, ensuring the security, performance, and reliability of our systems handling sensitive compliance data. Collaboration will be a cornerstone of your work, as you will closely work with cross-functional teams including product, domain experts, and other engineers to align AI development with business objectives. You will also be responsible for implementing feedback loops for continuous improvement and validation of AI models. Staying up-to-date with the latest advancements in AI, MLOps, and compliance technology will be essential to drive innovation in your role. To excel in this position, you should have 4-8 years of experience primarily focused on backend development, a strong proficiency in Python, SQL, GEN AI, and experience with cloud platforms such as GCP, Azure, or AWS. A solid understanding of data security and privacy principles is crucial, especially in handling compliance data. At Zango, we offer a competitive salary package along with significant equity, providing you with the opportunity to build products used by global banks. You will have ample opportunities for professional growth, learning, and making a tangible impact in a fast-growing AI startup environment. If you are passionate about applying AI to solve complex regulatory challenges and thrive in a collaborative startup setting, we invite you to apply for this role and become a part of our innovative team at Zango in Bangalore, India. Join us in shaping the future of regulatory compliance! Apply now and be a part of our exciting journey.,

You will design, develop, and maintain backend services using Python and the Fast API framework on Microsoft Azure. Your responsibilities will include implementing RESTful APIs and microservices architecture. To be successful in this role, you must have at least 5 years of experience as a Python backend developer and be proficient in Python and Fast API or similar web frameworks. Experience working with Microsoft Azure, Docker, and Kubernetes is required. Familiarity with prompt engineering for Generative AI is a plus, along with knowledge of relational and non-relational databases like CosmosDB. You should have a good understanding of RESTful APIs and microservices architecture, excellent communication and teamwork skills, as well as the ability to work independently and solve problems efficiently. This position is open for candidates with 7-12 years of experience and is based in Greater Noida, Pune, or Hyderabad.,

The Senior Semantic Modeler will be responsible for designing, developing, and maintaining Semantic models using platforms like CubeDev, HoneyDew, AtScale, and others. This role requires a deep understanding of Semantic modeling principles and practices. You will work closely with data architects, data engineers, and business stakeholders to ensure the accurate and efficient representation of data for Generative AI and Business Intelligence purposes. Experience with graph-based semantic models is a plus. As a Product Architect - Semantic Modelling, your key responsibilities will include: - Designing and developing Semantic data models using platforms such as CubeDev, HoneyDew, AtScale, etc. - Creating and maintaining Semantic layers that accurately represent business concepts and support complex querying and reporting. - Collaborating with stakeholders to understand data requirements and translating them into semantic models. - Integrating semantic models with existing Gen AI & BI infrastructure alongside data architects and engineers. - Ensuring the alignment of semantic models with business needs and data governance policies. - Defining key business metrics within the semantic models for consistent and accurate reporting. - Identifying and documenting metric definitions in collaboration with business stakeholders. - Implementing processes for metric validation and verification to ensure accuracy and reliability. - Monitoring and maintaining the performance of metrics within the Semantic models and addressing any issues promptly. - Developing efficient queries and scripts for data retrieval and analysis. - Conducting regular reviews and updates of semantic models to ensure their effectiveness. - Providing guidance and expertise on Semantic technologies and best practices to the development team. - Performing data quality assessments and implementing improvements for data integrity and consistency. - Staying up to date with the latest trends in Semantic technologies and incorporating relevant innovations into the modeling process. - Secondary responsibilities may include designing and developing graph-based semantic models using RDF, OWL, and other semantic web standards. - Creating and maintaining ontologies that accurately represent domain knowledge and business concepts. Requirements: - Bachelor's or Masters degree in Computer Science, Information Systems, Data Science, or a related field. - Minimum of 6+ years of experience in Semantic modeling, data modeling, or related roles. - Proficiency in Semantic modeling platforms such as CubeDev, HoneyDew, AtScale, etc. - Strong understanding of data integration and ETL processes. - Familiarity with data governance and data quality principles. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Experience with graph-based semantic modeling tools such as Protg, Jena, or similar is a plus. Functional skills: - Experience in Lifesciences commercial analytics industry is preferred with familiarity in industry-specific data standards. - Knowledge of Gen AI overview and frameworks would be a plus. - Certification in BI semantic modeling or related technologies. Trinity is a life science consulting firm, founded in 1996, committed to providing evidence-based solutions for life science corporations globally. With over 25 years of experience, Trinity is dedicated to solving clients" most challenging problems through exceptional service, powerful tools, and data-driven insights. Trinity has 12 offices globally, serving 270+ life sciences customers with 1200+ employees. The India office was established in 2017 and currently has around 350+ employees, with plans for exponential growth. Qualifications: B.E Graduates are preferred.,

Job Summary We are looking for a seasoned AMS Solution Architect with a strong background in application management outsourcing and solutioning for large-scale strategic deals (TCV: US$ 20Mn+). The ideal candidate will have a proven track record in presales, solution architecture, and client engagement across multiple technologies Role & responsibilities Lead end-to-end solutioning for RFPs/RFIs in AMS and multi-tower outsourcing. Design innovative, cost-effective, and scalable solutions aligned with client objectives. Develop delivery models, governance structures, transformation roadmaps, and commercials. Collaborate with cross-functional teams to build winning proposals and value propositions. Maintain a win rate of 60%+ on pursuits and ensure >85% utilization on AMS engagements. Contribute to strategic initiatives and knowledge sharing within the team Must-Have Skills Strong experience in AMS presales with high conversion rates. Deep understanding of solutioning lifecycle: Transition, Steady State, Optimization. Expertise in estimation, pricing models, and commercial structuring. Broad technology exposure: SAP, Custom Applications, Digital, GenAI. Excellent communication, leadership, and stakeholder management skills. Familiarity with DevOps, SAFE Agile methodologies. Good to Have Experience working with MNCs or Tier-1 IT service providers. Exposure to vendor consolidation, delivery transformation, and packaged solutions. Demonstrated thought leadership in external forums. Willingness to travel on short notice

kills for Gen AI: Candidate should worked on Gen AI projects. Hands on experience in deployment/ production support. Skills: Gen AI, Fast API,LLM, Flask, Python, Machine Learning

Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers. Processing, cleansing, and validating the integrity of data to be used for analysis. Required Candidate profile Should have exp of Data Science, Machine learning, Hive, Hadoop,Python, SQL, NLP, Gen AI etc. Should have Team handling and US Client handling exp. Pharma / biotech / healthcare industry preferred

Position: Gen AI Engineer Location: Noida/ Hyderabad Job Overview: As a Generative AI Engineer in our engineering team, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services. Key Responsibilities: Design, train, fine-tune, and evaluate generative AI models (LLMs, diffusion models, transformers, etc.) Implement prompt engineering and retrieval-augmented generation (RAG) pipelines Develop APIs and services for integrating generative AI into products Build and maintain scalable machine learning pipelines (e.g., data preprocessing, model training, inference serving) Conduct experiments, benchmark models, and contribute to model selection Collaborate cross-functionally with product, design, and infrastructure teams Monitor and optimize model performance, latency, and safety in production Stay current with state-of-the-art research in generative AI and foundation models Qualifications & Skills: Bachelor's or Masters degree in Computer Science, AI, Data Science, or a related field 5+ years of experience working with deep learning frameworks (e.g., PyTorch, TensorFlow) Strong understanding of transformer architectures, attention mechanisms, and generative models Experience with LLM s like GPT, LLaMA, Claude, Mistral, or similar Proficiency in Python and ML tooling (e.g., Hugging Face, LangChain, Weights & Biases) Familiarity with cloud environments (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) If interested plz contact 9513487487 jobs@intellisearchonline.net

Role & responsibilities: We are seeking a highly skilled Testing Engineer to join our team working on Generative AI (Gen AI) projects. The role requires deep knowledge of AI systems, testing frameworks, and automated testing techniques. The engineer will focus on testing the quality, performance, and reliability of AI-driven applications, including chatbots, NLP models, and other AI-based solutions. This is a critical role to ensure the smooth deployment of high-quality AI systems in production environments. Key Responsibilities : Develop and execute test cases, scripts, plans and procedures (manual and automated). Design, build, test, and deploy effective test automation solutions. Perform testing on various software, telecom and reporting systems. Validate that user expectations are achieved during the testing process. Review user requirements documents to ensure that requirements are testable. Execute all levels of testing including but not limited to: System, Integration, and Performance Testing for both Black Box and White Box testing. Identify, isolate, report, and track product defects to closure. Collaborate closely with other team members and departments. Establish and enforce QA best practices, methodologies, and standards to ensure high-quality deliverables. Provide technical guidance, mentorship, and training to junior testers to enhance their skills and efficiency. Coordinate and maintain test environments, ensuring they replicate production conditions. Track and report key QA metrics such as defect densities, test coverage, and execution progress. Ensure Compliance with Industry Standards Verify that software meets regulatory and security requirements as per industry standards. Define Test Plan for Sprints and participate in sprint planning. Desired Skills & Qualifications : Bachelor's degree in Computer Science, Engineering or a related field. 3-8 years of experience in software testing and quality assurance. Experience in writing clear, concise, and comprehensive test plans and test cases. Hands-on experience with both white box and black box testing. Hands-on experience with automated testing tools. Strong knowledge of software QA methodologies, tools, and processes. Experience working in an Agile/Scrum development process. Soft Skills: Bonus Skills : Familiarity with telecommunications technologies and protocols. Experience in performance testing for AI systems. Knowledge of AI ethics, fairness, and bias testing frameworks.

Dear Candidate, This is with reference for Opportunity for Tech Lead - GCP AI (Gemini) professionals PFB the JD Responsibilities: Lead the development and implementation of AI-driven solutions using GCP services and Gemini technologies. Collaborate with stakeholders to understand business requirements and translate them into scalable, secure technical solutions. Design and optimize AI architectures for performance, reliability, and cost-effectiveness. Establish best practices for AI model development, deployment, and monitoring. Ensure compliance with ethical AI principles, data governance, and security standards. Provide technical leadership and mentorship to cross-functional teams, including data scientists and engineers. Stay updated with emerging trends in AI and cloud technologies, particularly within the GCP ecosystem. Troubleshoot and resolve complex technical issues related to AI systems. Document architectural designs, technical decisions, and best practices for future reference. Eligibility Criteria: Bachelors or masters degree in computer science, Data Science, or a related field. Extensive experience with GCP AI services and Gemini technologies. Strong understanding of AIarchitecture, machine learning, and optimization techniques. Proficiency in programming languages such as Python, Java, or similar. Experience with cloud-based AI solutions and MLOps practices is a plus. Familiarity with ethical AI principles and frameworks. Knowledge of data governance,compliance standards, and security protocols. Excellent problem-solving and analytical skills. Proven leadership and team management abilities. Ability to work in a fast-paced environment and manage multiple priorities. Skill - Tech Architect - GCP AI (Gemini) Location - Pune/Bangalore

Key Responsibilities: Collaborate with ESG subject matter experts and stakeholders to identify and document business needs, transform them into technical requirements, and define digital project objectives. Conduct comprehensive analysis on existing ESG practices to uncover digitalization opportunities that drive efficiency, transparency, and compliance. Own the Agile project management process, including backlog refinement, sprint planning, daily stand-ups, sprint reviews, retrospectives, and user story creation and prioritization. Lead the selection and implementation of web/cloud-based solutions and SharePoint applications to enhance ESG strategy execution and reporting capabilities. Serve as the primary interface between ESG teams, IT specialists, and external vendors to ensure the successful integration and alignment of digital platforms. Develop business cases that present the justification, expected benefits, and cost analysis for proposed digital transformation projects in the ESG domain. Perform system testing and facilitate user acceptance testing (UAT) to ensure that digital applications meet high-quality standards and business expectations. Create business cases, value delivery and identify the ROI and realized benefits. Create and manage detailed project plans, track project performance, identify and resolve issues, and ensure timely delivery of project milestones. Deliver engaging training sessions and create comprehensive documentation for end-users to facilitate the adoption of new technologies and processes. Establish KPIs to measure the effectiveness of digital solutions and contribution to ESG goals. Advocate for Agile best practices and contribute to the continual improvement of project management methodologies.

Transformer Models- either finetune or training on Open-Source Transformer based models. Should have done projects on LLM, NLP, LLAMA, Hugging face, RAG, Agentic AI/ Gen AI. Hands-on on Python Coding Should have done Gen AI projects.

We are looking for AI/ML role ML Libraries & Frameworks: TensorFlow, PyTorch, and scikit-learn ML Architectures: Deep Learning, and Natural Language Processing LLM: LangChain, LangGraph Container: Docker, Kubernetes Gen AI is Must The interview will be conducted on 5th July 2025(Saturday Virtually Apply only if available).

Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills 5+ years of work experience in writing code in Python Experience in using various Python libraries like Pandas, NumPy Experience in writing good quality code in Python and code refactoring techniques (e.g., IDEs – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) Strong experience on AI assisted coding experience. AI assisted coding for existing IDE's like vscode. Experimented multiple AI assisted tools and done research around it. Deep understanding of data structures, algorithms, and excellent problem-solving skills Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. Experience in building models for ML tasks (Regression, Classification) Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanis

Senior Prompt Engineer: Design, optimize, and test AI prompts for accuracy and efficiency. Collaborate with cross-functional teams to improve model outputs. Expertise in NLP and LLMs required.

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Responsibilities: Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities Good exposure with implementing robust CI/CD automation and orchestration using tools like Azure DevOps Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements Design and implementation of the overall web architecture with real time exposure of developing REST APIs Good command for designing and building the entire stack for speed and scalability Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions Requirements Bachelor's degree in Computer science, Engineering, Mathematics, Statistics or a related field Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models Familiarity with algorithms both in supervised and un-supervised learning Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience Exposure at implementing CI/CD pipelines to streamline development and deployment Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc Exposure in modular, typed, and object-oriented Python programming Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL) Excellent communication skills with a desire to work in multidisciplinary teams Expert for analysing the errors of the model and designing strategies to overcome them

Immediate Hiring for GenAI Developer Contract/Subcorn/C2H Skill - GenAI developer EXP Range - 7 - 10 yrs Location - BGL/HYD/MUM Skills Required Experience in LLM APIs, Prompt engineering and fine tuning, RAG Pipelines, Python, Pyspark, SQL (Primary) Experience in one major cloud provider Snowflake, Databricks, Informatica

Requirement : Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 10+ years of relevant experience in Machine Learning, Statistics. Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint. Must have Skills and Experience Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches. Should have managed end to end project delivery independently in client facing fast paced environment Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation Strong programming experience in Python and SQL/Pyspark Should have strong experience in Machine Learning and forecasting, with actual project experiences for application Strong in GenAI and NLP: Extensive experience in retrieval augmented generation and strong grasp in agents Should have good understanding of transformer architecture and traditional NLP Some familiarity with Computer Vision and Object Detection using common frameworks Experience in creating APIs to develop applications Should have extensive experience in working in Azure ecosystem, including but not limited to understanding of Azure Data factory, Azure Functions etc.

Key Responsibilities: AI Solution Development: Assist in the design and development of generative AI models and solutions for clients across various industries. Work with senior engineers to implement AI models into business processes, ensuring the solutions align with client needs and objectives. Participate in the creation of Proof of Concepts (PoCs) and Minimal Viable Products (MVPs) to demonstrate AI capabilities. Client Project Delivery: Support the delivery of AI solutions for client projects, ensuring timely execution and high-quality outcomes. Collaborate with cross-functional teams to understand client requirements, translate them into technical specifications, and help drive the successful implementation of AI models. Contribute to client presentations and demos, showcasing AI capabilities and how they address specific business challenges. Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing data pipelines and systems, ensuring data is processed and utilized effectively for AI model training and deployment. Ensure data quality and adhere to best practices for data governance and privacy when handling sensitive information. Business Development & Practise Building Work closely with business teams and clients to demonstrate the potential of AI and assess its feasibility for solving business challenges. Lead feasibility studies, develop data strategies, support RFP responses, and demo to prospective clients. Data Governance & Security Ensure compliance with data governance policies and industry regulations regarding AI models and data processing. Implement best practices in data privacy, security, and ethical AI, particularly when handling sensitive data. Qualifications & Experience: Educational Background: BSc in Computer Science, Engineering, Statistics, or a related field. Certifications or coursework in AI/ML or data engineering are a plus. (Additionally, if you feel you are the right fit for the listed skills and can demonstrate why you would be a good fit for the role, we are open to all backgrounds that have demonstrated commitment and progression of your skillset through personal and professional engagements. We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you) Work Experience: 3+ years of experience in AI/ML, specifically in the development and deployment of generative AI models. Hands-on experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies. Familiarity with AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. Skills: Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. Familiarity with AI/ML algorithms and model deployment in cloud environments.

Byteridge is seeking a detail-oriented and proactive Project Coordinator to support the successful execution of client-facing Generative AI (GenAI) initiatives. As a fast-growing AI services organization, we are engaged in multiple high-impact GenAI projects across industries. This role will assist in coordinating project activities, tracking deliverables, organizing internal workflows, and ensuring timely communication across teams.You will play a key role in supporting the AI delivery team and institutionalizing project knowledge, while enabling smoother and more consistent project execution. Key Responsibilities Project Coordination & Execution Support Assist in managing the day-to-day operations of GenAI project delivery. Track project timelines, deliverables, and milestones using project tracking tools. Schedule and coordinate meetings between engineers, internal teams, and client POCs. Support onboarding of new team members into client projects. Monitor progress and flag risks, delays, or blockers to the AI Head or Project Manager. Documentation & Knowledge Management Maintain structured documentation for each project, including objectives, constraints, and workflows. Assist in creating reusable templates and standard checklists for recurring project tasks. Organize and update knowledge repositories including prompt workflows, onboarding kits, and evaluation logs. Internal Communication & Reporting Prepare weekly status updates and basic reports for internal and client stakeholders. Coordinate internal standups, enablement sessions, and retrospective meetings. Support demos and presentations by gathering required materials and progress data. Process Improvement Support Identify recurring coordination challenges and suggest improvements. Contribute to refining project tracking processes and SOPs over time. Required Qualifications 3 to 5 years of experience in a coordination, project support, or junior project management role, preferably in a tech or consulting environment. Exposure to AI/ML projects or interest in the GenAI domain is a strong advantage. Excellent organizational and communication skills. Familiarity with tools like Notion, Confluence, Jira, or similar platforms. Comfortable managing documentation and handling multiple priorities simultaneously. Preferred Qualifications Basic understanding of software delivery lifecycle or AI workflows. Experience working with cross-functional teams (engineering, design, client stakeholders). Awareness of AI/ML terms, use cases, and prompt engineering concepts is a plus. Why Join Us Work closely with leading AI engineers and industry experts. Get hands-on exposure to cutting-edge GenAI use cases across industries. Contribute to high-impact AI solutions while growing in a dynamic and future-focused team.

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills. Role & responsibilities : As a Technical Architect with expertise in OpenAI technology, you will play a pivotal role in the design, implementation, and optimization of AI applications and systems. You will collaborate closely with cross-functional teams, software engineers, data scientists, and product managers to ensure the successful deployment of OpenAI technology. Your responsibilities will include: Primary Responsibilities: AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components. Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions. OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements. Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets. API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality. Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains. Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models. Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data. Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices. Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development. Conduct code reviews and refactoring wherever possible