633 Gen Ai Jobs - Page 19

Technology Cloud Sales Manager Are you passionate about helping Enterprise Business to do better If so, we want to talk to you! If you are looking to take the next step in your career by offering great effective, efficient, and commercially viable solutions to your enterprise clients, then one of our Technology Cloud sales roles could be your springboard to success. We've got exciting new opportunities opening up working with Oracle's Cloud sales teams. So if you are passionate, customer centric, happy to engage with lots of customer in weekly basis using face to face and digital channels, have an innovative and entrepreneur spirit and like to have fun whilst you work, then this could be the perfect opportunity for you. Having a sense of humor in what can be a pressure in sales environment helps, and the rewards for your contribution include a compensation and benefits package and a continuous training program in a structured environment that is world class. Join us and become the trusted advisor of your clients. Join us and become a Cloud digital sales business expert in the #1 Data company. Required Skills Strong believer on Cloud model and customer success centric. Creative with strong problem-solving skills and an ability to succeed in a value oriented - fast-paced environment. More than 7 years of direct sales or pre-sales/technical background in cloud - handling enterprise customers Always open to learn and constantly looking for self-development. Experience in software sales, including Cloud Service experience would be an advantage. Proven track record in a sales-driven organization, selling technology-related products and services and achieving quota Experience selling public and private cloud, business analytics, Data solutions, AI and Gen AI would be an advantage Solid written, verbal, and presentation skills Proven ability to work well as part of an extended sales team Knowledge of Oracle Cloud Infrastructure products and Exadata Cloud at Customer is preferred but not essential Fluency in English and Tamil language Team player and self-motivated Interact and build relationships with Customer C level executives to drive business outcomes as Trusted Advisor and Strategic Partners to the company Ability to farm opportunities with business and IT which is aligned to the pain points they are experiencing as well as future strategic objectives. Ability to become a thought leader in key areas of interest to our customers like Gen AI etc etc Deliver high level of activities on weekly basis to create and mature qualified pipeline opportunities. Achieve assigned quote for new cloud sales and consumption growth expectations. Win opportunities on monthly basis and quarterly basis Maintain accurate records of customer interactions, pipeline status and forecasted opportunities in our Customer Connect system. Develop proactive relationships and collaborate with extended Tech Cloud teams (Marketing, Business development, Presales, Consultants, Customer success team, etc) Develop and execute a sales plan that provides complete territory and sector specific coverage Develop appropriate sales programs and solutions maintain up-to-date competitive information and compile regional success stories Lead successful go-to-market campaignsby working closely with internal marketing specialists Contribute and lead in account planning, customer/market analysis, and strategy sessions. Contribute individually and as a team member, providing direction and mentoring to others. Career Level - IC4

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Lead Data Scientist / TA Exp : 12 - 20 years Mode of work : Hybrid Model (3daya WFO) Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Job Description: We are looking for a highly experienced Lead Data Scientist / ML Engineer to drive innovation in Generative AI (GenAI) , search technologies , recommendation engines , and agentic AI systems . This role demands both technical excellence and strategic vision, combining deep hands-on expertise in AI/ML with proven leadership in building and scaling data science teams. Key Responsibilities: 1. Technical & Strategic Leadership Define and execute AI strategies aligned with business goals. Lead and mentor a high-performing team of data scientists and ML engineers. Drive architectural decisions and innovation in AI-powered products. 2. Generative & Agentic AI Build and deploy GenAI models for text generation and content automation. Develop agentic AI systems with autonomous task planning and decision-making capabilities. Apply latest deep learning advancements (transformers, diffusion models, etc.) to real-world use cases. 3. Search & Recommendation Systems Design scalable, high-performance search and recommendation platforms. Implement ML models for ranking, personalization, and relevance optimization. Leverage real-time feedback loops and experimentation (A/B testing). 4. Large Language Models (LLMs) Fine-tune and operationalize LLMs (e.g., GPT, BERT) for NLP tasks. Work closely with product teams to integrate LLMs into applications. Establish best practices for LLMOps, including prompt engineering and monitoring. 5. Machine Learning Engineering & MLOps Build robust ML pipelines for model development, deployment, and monitoring. Implement MLOps using CI/CD, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Ensure responsible AI practices and data governance compliance. 6. Collaboration & Stakeholder Engagement Translate business needs into ML solutions in partnership with product and engineering teams. Communicate insights and recommendations to stakeholders across levels. Promote a culture of data-driven decision-making. 7. Research & Innovation Stay updated on the latest in AI/ML and contribute to R&D efforts. Encourage experimentation, POCs, and technical publications. Required Qualifications: Masters or PhD in Computer Science, AI, Data Science, or related field. 12+ years of experience in data science/ML, with 5+ years in leadership roles. Strong experience in: Generative AI (e.g., GANs, VAEs, transformer models) Search & Recommendation Systems LLMs & NLP using frameworks like Hugging Face, TensorFlow, PyTorch Agentic AI and autonomous systems ML Engineering & MLOps Leadership skills with proven success in managing cross-functional teams. Strong communication and stakeholder management abilities. Preferred Skills: Experience with big data tools (Spark, Hadoop, Kafka). DevOps tools: Jenkins, GitLab CI, Terraform. Exposure to edge computing and distributed systems. Contributions to open-source AI/ML projects or research publications. Please check below link for organisation details https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Job Overview: We are seeking an accomplished Generative AI candidate to spearhead the development, implementation, and optimization of Generative AI solutions. Primary Skill Set:Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. LLM Pipeline Creation: Strong experience in designing data pipelines, including data preprocessing, feature extraction, and model integration. Familiarity with best practices for creating efficient and scalable pipelines. Secondary Skill Set:Software Development: Proficiency in software development practices, version control systems (e.g., Git), and collaborative coding environments. Understanding of agile methodologies is advantageous. Testing and Deployment: Familiarity with testing methodologies for AI models, including unit testing, integration testing, and model validation. Experience in deploying models to production environments. Workflow Optimization: Knowledge of workflow optimization techniques and tools to enhance development speed and efficiency. Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles. Responsibilities: Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.

Lead and mentor engineers, align tech solutions with goals and compliance, ensure scalable, secure architecture, manage multi-project delivery, support team growth, foster collaboration, and drive modernization and cross-functional product success. Health insurance Provident fund

We are seeking a skilled Data Engineer who can function as a Data Architect, designing scalable data pipelines, table structures, and ETL workflows. The ideal candidate will be responsible for recommending cost-effective and high-performance data architecture solutions, collaborating with cross-functional teams to enable efficient analytics and data science initiatives. Key Responsibilities: Design and implement ETL workflows, data pipelines, and table structures to support business analytics and data science. Optimize data storage, retrieval, and processing for cost-efficiency and high performance. Collaborate with Analytics and Data Science teams for feature engineering and KPI computations. Develop and maintain data models for structured and unstructured data. Ensure data quality, integrity, and security across systems. Work with cloud platforms (AWS/ Azure/ GCP) to design and manage scalable data architectures. Technical Skills Required: SQL & Python Strong proficiency in writing optimized queries and scripts. PySpark Hands-on experience with distributed data processing. Cloud Technologies (AWS/ Azure/ GCP) Experience with cloud-based data solutions. Spark & Airflow Experience with big data frameworks and workflow orchestration. Gen AI (Preferred) Exposure to generative AI applications is a plus. Preferred Qualifications: Experience in data modeling, ETL optimization, and performance tuning. Strong problem-solving skills and ability to work in a fast-paced environment. Prior experience working with large-scale data processing.

Experience: 10+ years overall | Minimum 10 full-cycle AI/ML project implementations, including GenAI experience Role Summary: We are seeking a AI Architect to lead strategic AI transformation initiatives within the retail domain. This role demands deep hands-on experience in AI, Machine Learning (ML), and Generative AI (GenAI), along with the ability to engage directly with C-level stakeholders, align technical delivery with business objectives, and drive enterprise-wide adoption of advanced AI solutions.The ideal candidate is a techno-strategic leader who can take AI/ML/GenAI projects from ideation to productionbuilding architectures, leading cross-functional teams, and ensuring regulatory and operational alignment in retail environments.Key Responsibilities:Consulting & Business Alignment Partner with senior business and IT leadership, including CIOs, CDOs, and COOs, to identify high-impact use cases across e-commerce, retail operations, supply chain, and customer experience. Translate complex retail challenges into technically feasible and scalable AI/ML/GenAI solutions. Create strategic roadmaps, capability assessments, and PoV/PoC execution plans that align with business KPIs and regulatory needs. Solution Architecture & Delivery Leadership Design and lead delivery of AI/ML/GenAI pipelines covering data ingestion, model training, validation, deployment, and monitoring. Build and scale GenAI-based solutions like LLM-driven chatbots, intelligent product recommendation engines, RAG pipelines, summarization tools, and virtual assistants. Architect cloud-native AI platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). Define and implement MLOps and LLMOps frameworks for versioning, retraining, CI/CD, and production observability. Ensure adherence to Responsible AI principles, including explainability, bias mitigation, auditability, and compliance with retail regulations (GDPR, CCPA, SOC2, etc.). Engineering & Integration Work closely with data engineering teams to acquire, transform, and pipeline data from retail systems, customer databases, inventory management systems, and real-time feeds. Design architecture for data lakes, feature stores, and vector databases supporting AI and GenAI use cases. Enable seamless integration of AI capabilities into enterprise workflows, customer platforms, and decision engines via APIs and microservices. Required Skills & Experience: 10+ years of experience in AI/ML, data engineering, and cloud architecture. Minimum of 5 end-to-end AI/ML project implementations from use case discovery through to productionization. Proven expertise in: (Any One) AI/ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch GenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma) Cloud platforms: AWS, Azure, GCP including AI/ML & GenAI native services MLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines Strong experience with data security, governance, model risk management, and AI compliance frameworks relevant to retail. Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders.

We are looking for Data Scientist with GenAI solution & Python Development experience. Experience - 5+ Years Location - Bangalore Mandatory Skills - Data Science, Gen AI, Python, RAG. AI/ML, NLP, Azure, AWS. PFB JD Responsibilities: Implement and optimize AIML models and algorithms with a focus on Agentic AI and Retrieval Augmented Generation RAG Implement scalable machine learning models and algorithms to solve complex challenges Research and integrate the latest AI tools and frameworks into existing systems Stay uptodate with advancements in AIML research and apply them to practical problems Experiment with and implement Generative AI technologies across multiple domains Leverage cloud platforms like Google Cloud AWS and Azure for scalable AIML deployments Utilize opensource large language models LLMs such as LLama3 in AI application development Key Skills Strong understanding of Agentic AI concepts and applications Handson experience with RetrievalAugmented Generation RAG models Expertise in machine learning and deep learning frameworks eg TensorFlow PyTorch Experience with Large language models eg GPT4 LLama Azure OpenAI and integrating them into production systems Proficiency in programming languages such as Python and familiarity with libraries like Hugging Face Transformers langchain and llama index Experience in building and deploying AIML solutions using cloud platforms Azure Knowledge of data retrieval natural language processing NLP and reinforcement learning techniques Strong problemsolving skills and ability to work in a fastpaced collaborative environment Experience with model optimization finetuning and inference strategies to improve system performance Preferred Skills Experience with advanced NLP tasks like text generation summarization and question answering familiarity with reinforcement learning algorithms and their application in intelligent agent design Familiarity with containerization technologies eg Docker Kubernetes Background in computer vision and image generation techniques

ExperienceRequired: 8-10 years PositionType: Contract WorkMode: Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad ShiftTiming: Flexible can start between 11 AM to 2 PM IST, end between 8 PM to 11 PM IST 3MustSkills: Gen AI, AWS, SQL Key Responsibilities NLP Expertise: Strong foundation in NLP methods text classification, sentiment detection, entity recognition. RAG Expertise: Proficiency with Retrieval-Augmented Generation (RAG); experience with vector databases (Weaviate, Pinecone). LLM Applications: At least 1 year experience building LLM-based applications using 3rd-party models (OpenAI, Anthropic). Prompt Engineering: Skilled in prompt engineering, crafting function calls, building conversational AI apps. Advanced LLM Techniques: Familiarity with zero-shot, few-shot learning, and fine-tuning. Python Programming: Extensive Python programming expertise to implement complex solutions. GenAI Libraries: Experience with Langchain, HuggingFace. Version Control: Proficient with Git and collaborative workflows. Data Preparation: Manage large structured & unstructured datasets. ML Deployment: Deploy, scale, and monitor ML/LLM models in live environments. Collaboration: Occasional overlap with US Eastern Time for team collaboration. DesiredExperience OpenSourceLLMs: Experience with frameworks like Llama or Mistral. RegulatedSectorExperience: Prior experience with data in regulated sectors (Healthcare, Banking). TechnicalSkillsAndCapabilities APIDevelopment: RESTful API design & development (Python-FastAPI). JavaScriptExpertise: Frontend & backend development using JavaScript + frameworks. Microservices Architecture: Architect scalable microservices-based solutions. GenerativeAILandscape: Deep understanding of RAG, vector embeddings, LLMs, OSS AI tools. CloudPlatforms: AWS / Azure / GCP deep understanding of cloud data services. DatabaseExpertise: SQL & NoSQL database design and optimization. DataStreaming: Kafka / Azure Event Hub / AWS Kinesis experience. AgilePractices: Experience with Agile development, Git, Jenkins, Azure DevOps. CICDPipelines: Ability to build/manage CI/CD pipelines. CommunicationSkills: Strong team collaboration, technical & non-technical stakeholder engagement.

Responsibilities * Design, develop, and deploy AI models and systems using Python, Gen AI, Agentic AI, and other relevant technologies * Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions * Work with large datasets to train and test AI models, and optimize their performance * Apply Prompt Engineering techniques to improve the overall performance of the AI systems * Troubleshoot and debug AI systems to ensure optimal performance and reliability * Provide technical guidance and expertise to ensure high-quality deliverables * Collaborate with the cross functional teams * Participate in code reviews and contribute to the improvement of the overall code quality Technical and Professional Requirements: Preferred Qualifications: * Certification in AI or a related field, such as Certified Data Scientist or Certified AI Engineer* Experience with other AI frameworks and technologies, such as TensorFlow, PyTorch, or Keras * Familiarity with containerization using Docker and Kubernetes * Experience with agile development methodologies and version control systems, such as Git * Strong understanding of software design patterns, principles, and best practices * Experience with DevOps practices, such as continuous integration and continuous deployment * Knowledge of cloud computing platforms, such as Azure / GCP / AWS Preferred Skills: Technology->Analytics - Solutions->SQL Server - Analytics Technology->Machine Learning->Generative AI->retrieval augmented generation (rag) Technology->Machine Learning->Python Technology->Programing language C->go lang Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or a related field (B.E/B.Tech/M.E/M.Tech/MCA) * At least 3-5 years of experience in software development, with at least 2 years of hands on experience in Gen AI development * Strong proficiency in Python programming language * Hands on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering * Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions * Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams Keywords: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Prompt Engineering, Machine Learning, SQL, Kafka Educational Requirements Bachelor of Engineering Service Line Information Systems * Location of posting is subject to business requirements

Job Title: Lead Data Scientist Location: Bangalore Urban, India (Hybrid) Key Responsibilities: Lead AI/ML initiatives across multiple projects. Collaborate with other data scientists and cross-functional teams. Translate business and technical requirements into actionable data science solutions. Propose and implement optimized machine learning models and data-driven strategies. Ensure quality and scalability of AI/ML solutions. Required Qualifications: Strong background in machine learning, deep learning, and data science. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large-scale data processing and model deployment. Excellent problem-solving and communication skills. Prior experience in leading data science teams or projects. Preferred Skills: Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps practices and tools. Knowledge of computer vision or NLP is a plus.

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Required Skills/Qualifications : - 3-12 years of experience in AI/ML related work - Extensive experience in Python - Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis - Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers - Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras - Experience with GenAI, LLMs, RAG architecture would be a plus - Familiarity with cloud services such as AWS, Azure - Familiarity with version control systems (e.g., Git), JIRA, Confluence - Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro - Knowledge of CI/CD pipelines and DevOps practices - Experience delivering customer facing AI Solutions delivered as SaaS would be a plus - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Strong problem-solving skills and attention to detail - Excellent verbal and written communication and teamwork skills

Note: Need candidate only from Startup, Banking, Fintech, Product Based We are not looking for NIT or IIT or VIT Candidates. Please don't apply. Required Qualifications: 1+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Role: Python Developer Exp: 4 Years + Location : Bangalore (Hybrid) Responsibilities: Developing and implementing in building scalable backend systems, APIs, and microservices. Instill best practices for software development, ensure designs meet requirements, and deliver high-quality work on schedule. Writing application backend codes using Python, SQL, using strong object-oriented principles, asynchronous programming Troubleshooting backend application codes. Developing and implementing back-end architecture Documenting application changes and developing updates. Qualifications: A masters or bachelors degree in computer science or related field from a top university. 4+ years' overall experience. Project experience in FastAPI, GenAI, LLM, is desirable. Strong proficiency in Python and experience with FastAPI or similar asynchronous frameworks (e.g., Flask, Django). Proven experience in building scalable backend systems, APIs, and microservices. Knowledge of AI/ML concepts and experience in integrating AI models into backend services is highly desirable. Familiarity with database technology such as SQL Experience with cloud services (AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Good problem-solving skills and ability to work in a fast-paced, team-oriented environment. Interested Candidates can reach out to me at Neesha1@damcogroup.com

Client : Accenture Level : Manager/ Senior Manager Project Role : AI / ML Architect Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : AI/ML, NLP, LLM, GEN AI Experience : 12- 20 years Educational Qualification : 15 years full time education Summary: As an AI / ML Architect, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions.

Job Description The Senior Full Stack Python Engineer is responsible for developing and maintaining robust, scalable, and efficient software solutions. This role requires: Deep understanding of Python programming and writing unit tests. Extensive knowledge of NoSQL DB, with significant experience in Microsoft Azure, particularly Cosmos DB NoSQL . Comprehensive understanding of LLM prompt engineering . Comprehensive understanding of microservices architecture and best practices in software development. Proficiency with Generative AI models such as OpenAI, Mistral, Claude, Gemini, Llama and schema-driven prompt engineering. Strong knowledge of Azure AI Services (Indexes, Vectors, Cognitive search etc.) and Azure Open AI Full-stack development capabilities, including front-end UI/UX development using React . Design, develop, and maintain high-quality Python applications. Demonstrate expertise in working with NoSQL Databases. Leverage experience with Microsoft Azure services, especially Cosmos DB. Architect and implement microservices-based applications. Utilize advanced knowledge of schema-driven prompt engineering and Generative AI models. Construct and maintain APIs, integrating various systems. Engage with stakeholders to gather requirements and translate them into software solutions. Apply meticulous attention to detail and excellent communication skills. Operate within Agile teams, applying Agile methodologies. Enhance user experience by creating intuitive user interfaces from Figma mockups Required Education Bachelor's degree in computer science, Information Technology, or a related field.

AI/ML Solutions, Hands-on experience in Deep Learning, RAG, LLMs, AI offerings on Cloud (GCP, Azure, AWS), DBMS like SQL, NoSQL,

Job Title: Generative AI Analyst Responsibilities: Large Language Model Data Evaluation & Narrations: Execute data evaluation, narration, and labeling tasks according to client requirements and guidelines with precision and attention to detail for AI model training Language Proficiency: Demonstrate a high level of English language proficiency (C1 level or above) in both written and verbal communication. C1 TOEFL or ielts CERTIFICATION OR Equivalent Adherence to Guidelines : Follow client-specific instructions and guidelines meticulously to produce consistently accurate annotations. Quality Assurance: Perform quality checks on annotated data to maintain high standards of accuracy and completeness. Communication: Collaborate effectively with team members and project managers to address queries and ensure smooth workflow. Feedback Integration: Actively participate in feedback sessions and incorporate constructive feedback into your work to improve annotation quality. Requirements: Language Skills: Proficiency in English at a C1 level or higher, both written and verbal. Attention to Detail: Strong attention to detail and ability to follow guidelines accurately. Adaptability: Ability to adapt to changing project requirements and priorities. Team Collaboration: Strong team collaboration and communication skills. Tech Savvy: Comfortable working with annotation tools and technology platforms.. Generative AI Understanding: Familiarity with generative AI concepts and a keen interest in contributing to the advancement of language generation technologies. Autonomous vehicle: (Good to have skills) Understanding of perception and prediction labeling work in AV domain is a plus.

Role / Designation: Project Manager, Location: Shillong Years of Experience: 7-10 years of relevant experience in Client Facing role in IT Services; Preferably leading AI Data Annotation Teams Education Qualifications : Engineering Degree / Masters Degree / Bachelors Degree Certifications: PMP or Prince 2 certification or Any other industry recognized Project Management Certification (Any One) Other requirements: Ability to travel between iMerit offices up to 25%. Responsibilities will include but not limited to the following: • Overall day-to-day management of data labelling projects, ensuring the project output meets the agreed quality, budget and timeline as agreed with clients. • Work closely with Sr. Project manager to understand project feasibility and help in budgeting, timelines, resource planning and execution. • Ensure compliance to organizational standards, including safety standards and client or customer communications. • Work with cross functional teams to understand the project requirement and to execute a holistic strategy and delivery plan and then own overall responsibility for the successful execution of the project. • Managing deadlines, multitasking, and maintaining high production and quality standards. Being responsible to achieve project success parameters. • Support business development by providing input on project proposal submissions, close new contracts, calculate financial viability and scope of work. • Actively work towards the improvement of processes and automating relevant reports. • Monitor and provide feedback to managed staff to effect improvements in organizational goals. • Review and filter applications for potential new hires. • Assist in interviewing applicants and confer with senior-level management on hiring process. Skill requirements • Experience with working in a high-volume distribution center environment • Proven ability to perform data driven analyses including problem statement, data discovery, and result communication • Quality oriented with high attention to detail • Passionate about technology, self-learner who keeps abreast with latest developments. • Excellent presentation and communication skills; Comfortable explaining technical topics to non-technical users • Team player who can work autonomously and is self-motivated to deliver quality results in a timely manner • Ability to thrive in a fast-paced start-up environment, and to manage multiple, competing priorities simultaneously. Must be comfortable in ambiguity and constantly evolving environment • Proven ability to deal with problems and solve them effectively • Ability to work well either individually or as part of a team • Proficient in Microsoft Excel, Word, Powerpoint More About Company: iMerit (https://imerit.net) delivers data annotation, classification and content moderation outcomes that power AI, Machine Learning and data operation strategies of some of the leading AI organizations in the world. Our work encompasses a clients journey from exploratory R&D to proof of concept to mission-critical, production-ready solutions. We leverage advanced tools, machine learning algorithms and workflow best practices to enrich, annotate and label large volumes of unstructured data and unlock hidden value. In our human powered computing model, technology solves for throughput, while our managed workforce teams (across delivery centers in India, Bhutan and the US) solve for accuracy through their deep expertise in Computer Vision, Natural Language Processing and Content Services, and across verticals such as Autonomous Vehicles, Medical AI, Finance, Geospatial technologies and many more. iMerit also creates inclusive and diverse employment in the digital IT sector - around 80% of our workforce are sourced from various impact communities and >50% are women.

We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities 1. Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. 2. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. 3. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. 4. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Position: Junior AI Research Engineer (Generative AI) Location: Noida Company: CodeFire Technologies Pvt. Ltd. About the Role: Looking for a sharp and motivated Junior AI Research Engineer to join our team and work on cutting-edge Generative AI projects. If you're from a premier institute (IIT/NIT/IIIT/Passionate Coder), work on cutting edge Gen AI solutions, and love solving complex problems, this is your chance to work hands-on with large language models, GenAI tools, and cutting edge AI solutions. What You'll Do: 1. Understand nuances of multiple LLMs and use them in developing applications 2. Explore different techniques of prompt engineering and measure its impact on solutions 3. Look out for latest research and keep yourself updated 4. Be part of core group that leads Gen AI practice in the company What We're Looking For: 1. Recent graduate (any branch) from IIT/NIT/IIIT/Passionate Coder 2. Strong analytical and logical reasoning 3. Research oriented mindset 4. Passionate to be on the forefront of GenAI revolution 5. Hands-on experience (projects, papers, GitHub, etc.) in AI 6. Worked with Python, PyTorch/TensorFlow, LangChain, or OpenAI APIs Why Join Us: 1. Work on meaningful, cutting edge, real-world GenAI applications 2. Mentorship from experienced tech leaders 3. Flexible and innovation-driven culture 4. Exposure to early-stage AI product building Apply Now Share your resume and AI project work at hr@codefire.in or whatsapp 7042203446

Location: Bangalore Responsibilities: Lead the execution of complex data science projects ensuring timely delivery and high- quality outcomes which enables business outcome. Identify new initiatives using emerging AI technologies and present them to Head/Lead of Data science. Build reusable AI components and assets and ensure their consumption in seamless manner by other data science projects/products. Collaborate effectively with other teams including Product, DB/DW and Applicatioon teams to ensure quick resolution of dependencies. Skills & Experience Required Strong knowledge and hands on experience with Agentic frameworks like Crew AI, Lang graph, Swarm AI etc. Good understanding of MCP (Model context protocol) Must have contributed significantly to development of at least 2 Gen AI project Must have worked with multiple Gen AI models including GPT, Claude, Qwen, Lama etc. Strong understanding of statistical concepts including probability, conditional probability, probability distribution, sampling, estimation, hypothesis testing etc. Deep understanding of ML models Knowledge of AutoML models like H2o and Pycaret and Deep learning models including MLP (Multi-layer perceptron), CNN, RNN, Self organizing maps (SOM), GAN (Generative Adversarial Networks), RBM (Restricted Boltzmann Machines) and LSTM (Long Short-Term Memory Networks) is preferable. Significant experience in SQL, Python, and Spark., Airflow Hands on experience with one of the MLOpS tools like ML flow (Open source preferred) Eligibility Bachelor /Master or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Role & responsibilities : Job Title : AI Engineer (AI-Powered Agents, Knowledge Graphs, & MLOps) Location: Hyderabad Job Type : Full-time Hands-on Gen AI development in GCP and Azure stack Job Summary : We seek an AI Engineer with deep expertise in building AI-powered agents, designing and implementing knowledge graphs, and optimizing business processes through AI-driven solutions. The role also requires hands-on experience in AI Operations (AI Ops), including continuous integration/deployment (CI/CD), model monitoring, and retraining. The ideal candidate will have experience working with open-source or commercial large language models (LLMs) and be proficient in using platforms like Azure Machine Learning Studio or Google Vertex AI to scale AI solutions effectively. Key Responsibilities : AI Agent Development : Design, build, and deploy AI-powered agents for applications such as virtual assistants, customer service bots, and task automation systems using LLMs and other AI models. Knowledge Graph Implementation : Develop and implement knowledge graphs for enterprise data integration, enhancing the retrieval, structuring, and management of large datasets to support decision-making. AI-Driven Process Optimization : Collaborate with business units to optimize workflows using AI-driven solutions, automating decision-making processes and improving operational efficiency. AI Ops (MLOps) : Implement robust AI/ML pipelines that follow CI/CD best practices to ensure continuous integration and deployment of AI models across different environments. Model Monitoring and Maintenance : Establish processes for real-time model monitoring, including tracking performance, drift detection, and accuracy of models in production environments. Model Retraining and Optimization : Develop automated or semi-automated pipelines for model retraining based on changes in data patterns or model performance. Implement processes to ensure continuous improvement and accuracy of AI solutions. Cloud and ML Platforms : Utilize platforms such as Azure Machine Learning Studio, Google Vertex AI, and open-source frameworks for end-to-end model development, deployment, and monitoring. Collaboration : Work closely with data scientists, software engineers, and business stakeholders to deploy scalable AI solutions that deliver business impact. MLOps Tools : Leverage MLOps tools for version control, model deployment, monitoring, and automated retraining processes to ensure operational stability and scalability of AI systems. Performance Optimization : Continuously optimize models for scalability and performance, identifying bottlenecks and improving efficiencies. Qualifications : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3+ years of experience as an AI Engineer, focusing on AI-powered agent development, knowledge graphs, AI-driven process optimization, and MLOps practices. Proficiency in working with large language models (LLMs) such as GPT-3/4, GPT-J, BLOOM, or similar, including both open-source and commercial variants. Experience with knowledge graph technologies, including ontology design and graph databases (e.g., Neo4j, AWS Neptune). AI Ops/MLOps Expertise : Hands-on experience with AI/ML CI/CD pipelines, automated model deployment, and continuous model monitoring in production environments. Familiarity with tools and frameworks for model lifecycle management, such as MLflow, Kubeflow, or similar. Strong skills in Python, Java, or similar languages, and proficiency in building, deploying, and monitoring AI models. Solid experience in natural language processing (NLP) techniques, including building conversational AI, entity recognition, and text generation models. Model Monitoring & Retraining : Expertise in setting up automated pipelines for model retraining, monitoring for drift, and ensuring the continuous performance of deployed models. Experience in using cloud platforms like Azure Machine Learning Studio, Google Vertex AI, or similar cloud-based AI/ML tools. Preferred Skills : Experience with building or integrating conversational AI agents using platforms like Microsoft Bot Framework, Rasa, or Dialogflow. Familiarity with AI-driven business process automation and RPA integration using AI/ML models. Knowledge of advanced AI-driven process optimization tools and techniques, including AI orchestration for enterprise workflows. Experience with containerization technologies (e.g., Docker, Kubernetes) to support scalable AI/ML model deployment. Certification in Azure AI Engineer Associate, Google Professional Machine Learning Engineer, or relevant MLOps-related certifications is a plus. Preferred candidate profile Perks and benefits

4–6 years of experience in AI/ML, with at least 2 years in ML and Generative AI projects. strong capabilities in building, training, and deploying ML models, along with experience working with frameworks such as LangChain, LangGraph and various LLMs.

DO NOT APPLY WITHOUT UNDERSTANDING THE ENTIRE JOB DESCRIPTION We are Hiring a Senior Data Scientist for a Leading Fortune 500 Manufacturing Brand Location: Mumbai Experience: Minimum 8 years in Data Science - AI/ML Education: M.E / M.Tech in Computer Science/ IT/ Data Science/ with persuasion of PhD Job Description: - Sr. Data Scientist will be required to build hypothesis, research, prototype, design, develop, and help implement enterprise level ML/ AI/Gen AI models for projects to transform and improve companys business results and competitive position & ensure alignment to the overall digital, data & AI strategy and current and future business objectives. Contribution to Data & AI Platform and Products Work within Digital Data AI Team in development of data science & AI capabilities and features to support delivery on defined objectives around platform aspects Design, implement, and evolve robust, secure and quality solutions that operate for the business ecosystem. Research, design & development of High-Quality Data, AI and analytical systems Define exploratory data analysis (EDA) keeping in line with problem necessities Ensure the development of quality procedures and standards products and supervising tests. Work on various data correction problems such as data cleansing, sourcing and integrating from multiple platforms to make the good data available for data analysis , data science & AI development Provide and help deliver the Solutions Hands on contribution to provide solutions and POCs , working in cross- functional or agile teams to develop and deliver significant aspects of the models and systems. Lead and mentor junior data scientists and ensure availability of necessary data and analysis as needed by business requirement and use cases. Conduct diagnostic across existing data and make future state recommendations in regular intervals. Collaborate with Business Analyst, Data scientists, Data Engineers and Data Analysts to ensure understanding and alignment between business needs and technical implementation. Monitor performance of existing solutions across use cases to identify and drive optimization. Oversee and Research, develop and analyse NLP, Gen AI , computer vision algorithms in Various use cases. Ensure model robustness, model generalization, accuracy, testability, and efficiency. Write product or system development code. Contributing via understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc Responsible for deploying AI/ML models (ML Ops) in standalone and cloud based systems and services. Support Projects and Initiatives Help in Collaboration with business unit heads and corporate functions to identify and assist in providing data analysis support across different projects Identify data from legacy systems, to build new solutions based on requirement Provide necessary technical support in new and ongoing digital initiatives to ensure seamless data solutioning. Requisite Experience Essential Minimum 10 Yrs with of experience in data analytics & data science, building, and maintaining various ML models. Good know how of emerging small and larger models 3 to 5 + years of experience in each of the Data Science specialization like NLP, Demand Forecasting, ML Ops Should be able to present portfolio of data science work or use cases Preferred Sound understanding of Data analysis to support the preparatory work Experience working in the agile Environment. Know how/ Familiarity in all aspects of MLOps (source control, continuous integration, deployments, etc.) Experience/ Exposure with Cloud data services like AWS or Azure Special Skills Required Functional: Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc. Strong hands-on coding skills in Python, processing large-scale data set and developing machine learning models. Experience programming in Python, R, and SQL Expertise in developing ML models and deployment of the same Hands on working on developing NLP models using transformers and computer vision. Know-how of deploying AI/ML models (ML Ops) in standalone and cloud-based systems and services. Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD SQL Server experience required Understanding of, dimensional data modelling, structured query language (SQL) skills, data warehouse and reporting techniques Data Governance & Ethics Leadership: Strong analytical skills, ability to ask right questions, analyse data and draw conclusion by making appropriate assumptions, to solve and model complex business requirements Ability to lead team of junior data scientists, get into the details of the problem and ability to code the solution hands on as and when needed Planning & Organizing Present complex data analysis in consumable way and Engage the stakeholders Ability to collaborate with different teams and clearly communicate solutions to both technical and non-technical team members Team player

Position Title: Data Scientist Job Summary We are seeking a Data Scientist to develop and implement data-driven, AI-powered solutions across the organization. In this role, you will apply analytical, statistical, and programming expertise to clean, aggregate, and interpret large datasets translating complex information into actionable insights. You will leverage machine learning algorithms, generative AI (Gen AI), and Retrieval Augmented Generation (RAG) methodologies to drive innovation, inform strategic decisions, and eHectively communicate findings to both technical and non-technical stakeholders.