828 Nltk Jobs

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 4 to 6 years of experience as Data Scientist Proven track record and experience with statistical modeling/data mining algorithms such as Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc Machine learning, deep learning, graph mining. DOE, Forecasting, Segmentation, Uncertainty Analysis etc. Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etc Vector Space model for Unstructured Text Sentiment Analysis, Association Mining, Semantic Analysis Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Expertise with one of the following scripting languages: Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API Prior experience working on Mobility or Healthcare domain will be a plus Qualifications Educational qualification: B.E/B.Tech/MCA or equivalent qualification Experience : 4 to 6 years of experience as Data Scientist Mandatory/requires Skills : Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Preferred Skills :

Vacancy Alert | Urgent Requirement Ø Java Technical Lead About Company: Phoenix Code Crafter Pvt Ltd. is a dynamic IT solutions subsidiary of Phoenix Assurance Pvt Ltd., specializing in innovative software development tailored specifically for the Insurance Industry, healthcare sector, Third Party Administrator (TPA), and Third-party audit companies. Leveraging cutting-edge technology and deep domain expertise, the company delivers unique, transformative software solutions that address complex operational challenges and drive digital transformation for its clients. With a commitment to excellence and technological innovation, Phoenix Code Crafter empowers organizations to enhance their efficiency, productivity, and service delivery through sophisticated, custom-built IT solutions. 📍 Job Location: 1008 10th Floor Shilp Zaveri Building, Ahmedabad, Gujarat 380015 Eligibility: BE in Computer Science, MCA, or an equivalent degree Experience: 5-7 Years Salary: Best in Industry (On the basis of Experience) Joining: Immediate Job Summary We are looking for a Java Developer (Backend) with 5 to 7 years of experience to join our team. The ideal candidate should have expertise in Spring Boot, Microservices, and Docker for backend development and React.js/Angular for frontend development. The role also requires experience with PostgreSQL/ClickHouse, and DevOps tools. Key Responsibilities Develop and maintain Java-based microservices using Spring Boot Design and build user-friendly front-end applications using React.js/Angular Deploy and manage containerized applications using Docker Manage and optimize PostgreSQL OR ClickHouse databases Implement CI/CD pipelines for automated deployments Use Git/GitHub for version control and collaboration Optimize application performance on both frontend and backend Collaborate with cross-functional teams to deliver high-quality software Required Skills & Experience: ✔ 5-7 years of experience in Full Stack development ✔ Strong backend experience with Java, Spring Boot & Microservices architecture ✔ Proficiency in Docker for containerization ✔ Expertise in PostgreSQL and ClickHouse databases ✔ Familiarity with CI/CD tools, IntelliJ, Git, and GitHub ✔ Strong problem-solving, teamwork, communication, and leadership skills Optional/Preferred Technical Skills Experience with building and deploying language model applications using LangChain.. Proficiency in NLP techniques and tools (e.g., NLTK, Spacy, Hugging Face Transformers). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience with NoSQL databases such as MongoDB or Cassandra. Experience with containerization tools like Docker. Proficiency in version control systems like Git. Experience with multi-agent systems and autonomous agent behaviour design. Knowledge of agent-based simulation techniques and their integration with AI/ML models. Soft Skills Strong research and development abilities. Self-driven with a proactive approach to work. Ability to collaborate with stakeholders to understand and deliver on technical requirements. Excellent problem-solving and analytical skills. Effective communication and teamwork abilities. Career Growth: Contact Person: Pooja Kumari: HR Executive Mobile number: 9142955670

Role Overview: As a Senior Backend Engineer specializing in Python for AI-Powered Systems, you will play a crucial role in leading the development of backend architecture for AI-driven applications, specifically chatbots and voice bots. Your responsibilities will include designing scalable Python-based backend services, mentoring team members, and ensuring the robustness, security, and scalability of the services you build. Key Responsibilities: - Architect and implement scalable Python-based backend services for AI-driven applications such as chatbots and voice bots. - Design modular and maintainable codebases, establish repository structures, and devise database schema designs. - Lead and mentor developers throughout all phases of development, from conceptualization to deployment. - Develop APIs using FastAPI, ensuring robust validation with Pydantic and utilizing asynchronous capabilities. - Implement ORM and migrations using SQLAlchemy and Alembic for database management. - Integrate task queues efficiently using Celery for background processing. - Build and optimize database systems, including MySQL, PostgreSQL, and related tools. - Integrate LLMs (e.g., OpenAI, HuggingFace Transformers) into backend systems to enhance conversational AI capabilities. - Utilize AI/NLP libraries such as NLTK, scikit-learn, or equivalent tools in production-level applications. - Implement containerization with Docker and maintain version control using Git. - Contribute to and uphold CI/CD pipelines for seamless and reliable deployments. - Conduct comprehensive code reviews to ensure the delivery of high-quality, maintainable, and well-documented code. Qualifications Required: - You should possess 5+ years of experience in Python backend development, with a preference for AI product environments. - Demonstrated expertise in designing backend architectures from scratch for real-time or intelligent systems. - Strong familiarity with FastAPI, Pydantic, SQLAlchemy, Alembic, Celery, Purest, and LLM-specific libraries (e.g., OpenAI SDK, HuggingFace). - Practical experience with PostgreSQL, MySQL, and adept knowledge of database design best practices. - Basic proficiency in containerization using Docker and a foundational understanding of CI/CD tools and Git workflows. - Experience in deploying and integrating LLM-powered applications like chatbots or voice bots into production environments. - A solid grasp of software engineering best practices, including conducting code reviews and mentoring team members. Company Details: (if provided in the JD, else omit this section) N/A,

Role Overview: As a Junior ML Engineer, you will be exposed to real-world machine learning systems from day one. You will support model development, testing, and deployment, and also take ownership of core data tasks like ingestion, vectorization, and indexing that form the backbone of the AI search engine. This role is perfect for someone who wants to grow fast, work with state-of-the-art AI tools, and help shape the future of legal research. Key Responsibilities: - Assist in Building and Deploying AI Models - Support senior ML engineers in developing search relevance models using LLMs and RAG. - Help test and evaluate embedding quality, ranking performance, and retrieval accuracy. - Contribute to deploying models into production on Azure. - Learn and Grow in a Production AI Environment - Gain exposure to real-world ML workflows used in legal and enterprise search. - Receive mentorship on best practices in model design, deployment, and optimization. - Participate in code reviews, architecture discussions, and technical deep dives. - Build APIs and Contribute to Integration Work - Help create and maintain REST APIs that expose AI-powered search to frontend apps. - Work alongside full-stack engineers to ensure seamless integration of models. - Manage Data Pipelines for Legal Search - Ingest, preprocess, and structure legal documents for AI consumption. - Chunk and generate embeddings from legal texts using pre-trained models. - Continuously update Azure AI Search indexes by ingesting fresh legal data on a regular basis. Qualification Required: - 2-3 years of experience or strong academic projects in ML/NLP/data science. - Strong programming skills in Python and experience with PyTorch or TensorFlow. - Familiarity with LLMs, vector search including Azure AI Search and RAG workflows. - Exposure to FastAPI, Flask, or Azure ML services. - Experience with data processing libraries (Pandas, NumPy, spaCy, NLTK). Additional Details: This is an on-site position for Lucknow, India. Nice to Have: - Experience working with legal, academic, or enterprise document data. - Interest in AI-powered document search or legal/enterprise NLP applications. - Strong desire to learn and collaborate with senior ML engineers. Notice Period: 1 Month or less,

Profile Description We’re seeking someone to join our team as (Associate) Gen AI Developerwho can Design, develop, and deploy Gen AI-powered search features leveraging OpenAI models (e.g., GPT-3, GPT-4, embeddings) and Lucid works Fusion. WM_Technology Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team. Analytics Intelligence & Data Technology Analytics, Intelligence and Data Technology (AIDT) enables and drives strategic data initiatives and business capabilities across Wealth Management. Software Engineering This is Associate position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What You’ll Do In The Role Integrate and fine-tune large language models (LLMs) with Fusion's search pipelines to enhance query understanding, semantic search, summarization, question answering, and content generation. Develop and implement strategies for indexing, retrieving, and ranking information optimized for Gen AI applications within the Fusion environment. Build robust and scalable APIs and microservices to connect Gen AI models with the Fusion platform. Collaborate with data scientists, search architects, and product managers to define requirements and deliver innovative search solutions. Experiment with different Gen AI techniques and evaluate their effectiveness in improving search relevance and user experience. Monitor and analyze the performance of Gen AI-enhanced search features, identifying areas for optimization and improvement. Stay up to date with the latest advancements in Generative AI, natural language processing (NLP), and search technologies. search architecture Troubleshoot and resolve technical issues related to Gen AI and Fusion integration. What You’ll Bring To The Role At least 4 years’ relevant experience would generally be expected to find the skills required for this role Proven experience in search engineering or a related software development Programming experience preferably using Python Strong understanding of search engine principles, information retrieval, and relevance ranking. Hands-on experience working with Lucid works Fusion, including pipeline development, query processing, and analytics Significant experience working with OpenAI APIs and models (e.g., completions, embeddings, fine-tuning). Solid programming skills in languages such as Python and Java or experience with UI development such as AngularJS, ReactJS will be a plus Experience with NLP techniques and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes). Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. Experience with other enterprise search platforms (e.g., Elasticsearch, Solr). Knowledge of vector databases and similarity search techniques. Experience with MLOps practices for deploying and monitoring AI models. Contributions to open-source projects in the search or NLP domains. Familiarity with agile development methodologies. Exposure to Docker, Kubernetes, and web stack technologies Experience working in an Agile development environment. Strong analytical and problem-solving skills. Good communication and collaboration skills. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Role - Sr Manager Analytics Experience - 8+ years Required Notice Period - Immediate or Serving or 30 days Must Have Skills ML / AI, NLP, Deep Learning, TensorFlow or Keras or Pytorch, NLTK, SpaCy, Hggingface, GenerativeAI, Azure or AWS, FastAPI, Git & Version Control, Dagstar, Airflow, MLFlow, Docker, Kubernates. Requirements 8+ Years of relevant experience in ML/DL 8+ years of ML/DL experience with a fully technical background. The previous experience should not be in non-tech roles. Experience focused on production projects only, with no capstone or internet-based projects. Proven experience (at least 8+ years) in ML/AI development, particularly in ML, with a strong understanding of NLP, deep learning, and neural networks. Proficiency in Python and at least one of the Deep learning frameworks such as TensorFlow, Keras, or PyTorch. Familiarity with NLP libraries such as NLTK, SpaCy and Huggingface transformers Working knowledge of Generative AI models and their architectures Familiarity with at least one of the two cloud platforms - Azure or AWS Proficiency in exposing the solutions as API endpoints using ASGI frameworks such as FastAPI Experience with development tools such as Git and version control Experience deploying the solutions using Docker and Kubernetes Familiarity with MLOps tools like Dagster, Airflow, MLFlow, etc., to build orchestration pipelines and enable model versioning and tracking Familiarity with data structures, algorithms, and core software engineering principles Strong problem-solving skills and the ability to work independently and in a team environment. Good communication skills, with the ability to present complex technical concepts to non-technical stakeholders Robust knowledge of statistics, data mining, and hypothesis testing, along with a sound understanding of visualization To apply, connect with Abhishek via abhishek.m@livecjobs.com or WhatsApp on 9154908075

Senior Backend Engineer – Python (AI-Powered Systems) Location: Infopark Koratty, Chalakkudy, Kerala Employment Type: Full-Time, Onsite Experience: 5+ Years About the Role We are looking for a Senior Backend Engineer – Python who has a solid foundation in backend architecture, real-time systems, and Python development. You will be leading the backend development of AI-powered applications, particularly chatbots and voice bots. This role involves hands-on system design, team mentoring, and building robust, secure, scalable services. Responsibilities Architect and implement scalable Python-based backend services, particularly for AI-driven applications (e.g., chatbots, voice bots). Design modular and maintainable codebases, including setting up repository structures and database schema design. Lead and mentor developers through all phases of development—from concept to deployment. Develop APIs using FastAPI, with robust validation using Pydantic and asynchronous capabilities. Implement ORM and migrations using SQLAlchemy and Alembic. Integrate task queues using Celery and background processing effectively. Build and optimize database systems, including MySQL, PostgreSQL, and related tools. Integrate LLMs (e.g., OpenAI, HuggingFace Transformers) into backend systems to support conversational AI capabilities. Use AI/NLP libraries such as NLTK, scikit-learn, or equivalents in production-level applications. Implement containerization using Docker and maintain version control with Git. Contribute to and maintain CI/CD pipelines for smooth and reliable deployments. Conduct code reviews to ensure high-quality, maintainable, and well-documented code. Requirements 5–6 years of experience in Python backend development, preferably in AI product environments. Proven experience in designing backend architectures from scratch for real-time or intelligent systems. Strong knowledge of: FastAPI, Pydantic, SQLAlchemy, Alembic Celery, Purest, LLM-specific libraries (e.g., OpenAI SDK, HuggingFace) AI/ML-related Python libraries: NLTK, scikit-learn Experience with PostgreSQL, MySQL, and database design best practices. Familiarity with containerization using Docker and basic knowledge of CI/CD tools and Git workflows. Experience deploying and integrating LLM-powered applications, including chatbots or voice bots, into production. Strong understanding of software engineering best practices, with experience conducting code reviews and mentoring team members. Preferred Experience in multi-tenant or multi-service application design. Exposure to cloud platforms like AWS, Azure, or GCP.

Why this job matters The Software Engineering Professional supports the execution of the software engineering strategy and roadmap that supports BT's commercial strategy through cross functional project and technical delivery and the participation of a team that pursues innovation as well as engineering excellence. Required Ansible:Strong experience in using Ansible for configuration management, automation of infrastructure tasks, and orchestration. Ability to write efficient playbooks, roles, and manage inventories across environments. Jenkins:Expertise in setting up and maintaining Jenkins pipelines for continuous integration and continuous deployment (CI/CD). Familiarity with Jenkins plugins, scripted and declarative pipelines, and integration with version control systems like Git. Docker:Solid understanding of containerization concepts using Docker. Experience in building, deploying, and managing Docker containers, writing Dockerfiles, and working with Docker Compose for multi-container applications. Django:Hands-on experience in developing web applications using the Django framework. Knowledge of Django ORM, views, templates, middleware, and RESTful API development. Familiarity with deployment practices and performance optimization. Candidate need to have a good understanding on the following concepts System architecture CI/CD pipelines Containerization Configuration management Web application frameworks Familiarity with cloud platforms and agile methodologies is also beneficial Desirable: Natural Language Understanding (NLU): Exposure to NLU concepts and tools such as spaCy, NLTK, or transformer-based models. Ability to integrate NLU capabilities into applications to enable intelligent text processing, intent recognition, and conversational interfaces

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases.

Job description: Position: Python AI developer Experience: 1-3yr We are hiring a skilled Python AI Developer to build custom AI models. The ideal candidate should have hands-on experience in machine learning, natural language processing (NLP), and Python-based AI tools. key responsibilities: 1-3 Year experience in AI/ ML, LLM, generative AI Build and integrate a chatbot for the website using AI/NLP Work on data preprocessing and model optimization Develop REST APIs and ensure backend integration Social media API integrations (Twitter/X, Facebook, Instagram, LinkedIn, YouTube, TikTok, Reddit, etc.). Collaborate with frontend/backend teams to deploy solutions Deploy AI models on cloud platforms (AWS/GCP/Azure) Maintain code quality and documentation Experience with Selenium or any automation tool Text generation, summarization, and rewriting for blog & post creation. Familiarity with AI image/video generation tools Required Skills : Strong expertise in Python Experience with AI/ML libraries: TensorFlow, PyTorch, Scikit-learn Good experience in vector data base Good knowledge of NLP tools: SpaCy, NLTK, Hugging Face Transformers Experience in chatbot frameworks like Rasa, Dialogflow, or building custom bots REST API development using Django, Flask Familiarity with version control tools (Git) Basic understanding of cloud services (AWS/GCP) Job Type: Full-time Pay: ₹15,000.00 - ₹60,000.00 per month Benefits: Health insurance Paid time off Work Location: In person

Job Title: Data Scientist About Us: Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. We help you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. Our solutions are powered by Robotics, Artificial Intelligence and Machine Learning algorithms which offer improved business efficiency in the interconnected world. Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences. Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. Data Management & Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. Model Evaluation & Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score). Monitor model performance to address drift, overfitting, and bias. Code Review & Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. Collaboration & Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: Educational Background: Bachelor’s or Master’s degree in computer science, Mathematics, Statistics, Data Science, or any related field. Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). Mathematical & Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. Model Deployment & Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. Code Review & System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus.  Soft Skills & Behavioural Qualifications: Must be a good team player and self-motivated to achieve positive results Must have excellent communication skills in English. Exhibits strong presentation skills with attention to detail. It’s essential to have a strong aptitude for learning new techniques. Takes ownership for responsibilities Demonstrates a high degree of reliability, integrity, and trustworthiness Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines Ability to accurately process high volumes of work within established deadlines.

Work Location: Chennai (Work from Office) Role Overview We’re hiring an NLP/LLM Engineer to design production-ready NLP pipelines, fine-tune open-source LLMs, and integrate LLMs into real-time products. You’ll work with product teams to build classification, NER, summarization, sentiment, and QA systems — from data preprocessing to deployment and monitoring. Responsibilities Design and implement NLP pipelines for classification, NER, summarization, sentiment analysis, and Q&A (RAG). Preprocess and structure large-scale textual datasets using SpaCy, NLTK, or custom tokenizers. Fine-tune and optimize open-source models (BERT, T5, GPT-style) using Hugging Face Transformers. Integrate LLM APIs (OpenAI, Anthropic/Claude, Cohere, Hugging Face) into real-time applications and microservices. Develop prompt strategies and evaluate prompt robustness; implement few/zero-shot approaches where relevant. Build retrieval + generation (RAG) pipelines with vector DBs (FAISS, Weaviate, Pinecone). Deploy model endpoints (Flask/FastAPI/Streamlit), containerize with Docker, and collaborate on cloud deployment. Monitor model performance, data drift, and user feedback; iterate based on metrics and qualitative signals. Collaborate with product, infra, and QA to embed models safely and responsibly. Required skills & experience Strong Python skills and experience with SpaCy, Transformers (Hugging Face), and NLTK. Hands-on experience fine-tuning/training Transformer models (BERT, T5, GPT variants). Experience integrating LLM APIs and working with prompt engineering. Familiarity with embeddings, attention, tokenization, and vector similarity (cosine). Experience with vector DBs such as FAISS, Weaviate, or Pinecone. Comfortable with Docker, Git, and REST API development (Flask/FastAPI). Practical knowledge of evaluation metrics (BLEU, ROUGE, perplexity, cosine similarity). For Sr. Roles: In addition to the above, Track record of shipping multiple production LLM/NLP systems end-to-end. Strong system design skills (latency/cost tradeoffs, multi-tenant inference). Mentoring/leadership experience and ownership of ML lifecycle (MLOps). Preferred / nice-to-have Experience with LangChain, LlamaIndex, PromptLayer, or similar LLMOps tooling. RAG workflows and building retrieval pipelines at scale. Experience in cloud deployment on AWS/GCP/Azure. Contributions to open-source projects or research publications. About Matrimony.com Matrimony.com Ltd, a Great Place to Work Certified Wed-Tech company listed on the BSE and NSE, is a leader in matchmaking and wedding services. Its flagship brand, Bharat Matrimony, is the largest and most trusted matrimony brand (Brand Trust Report 2014) spanning customers across the entire economic strata. The company serves over 6 million members with the support of 3,000+ associates and a network of 125+ company-owned retail outlets. Key Offerings Matchmaking Services: BharatMatrimony and 200+ matrimony brands segmented on religion, languages, communities, and occupation. Jodii: An exclusive matchmaking app for non-degree holders in 9 Indian languages Assisted Service and EliteMatrimony : Personalised services for the HNI, NRI and Premium segment of customers Wedding Services: Wedding Bazaar: Largest wedding services provider. Mandap.com: Largest online wedding venues platform. MakeMyWedding: Personalized & curated wedding planning services. New Initiatives & Verticals MatchAstro: It is an exclusive astrology app for marriage, love, and relationship ManyJobs: Employment platform targeting grey collar workforce. In vernacular language for the Tamil Nadu market (initial phase) and with some of industry first features for both companies and candidates WeddingLoan.com : A fin-tech platform to facilitate wedding loans through a curated set of institutions Luv.com : A next generation serious relationship app. International Presence Matrimony.com has successfully expanded into international markets, with UAE operations thriving for 5+ years and Bangladesh operations commencing in 2021. With a mission to dominate the $100 billion wedding services industry.

About The Role Project Role : AI / ML Engineer 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 : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization.Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer 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 : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization.Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer 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 : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization.Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

Job Title: RPA Developer Location : Chennai Type : Full-Time / Contractor Experience : 3–6 years Tech Stack : RPA Tools (UiPath, Automation Anywhere, Blue Prism), Power Platform (Power Automate, Copilot Studio, Power Apps), SharePoint, Python, REST APIs, Cloud Flows Role Overview We're looking for a dynamic, hands-on RPA Developer to design, build, and manage intelligent automation workflows across our enterprise ecosystem. You'll orchestrate and optimize processes, integrate with various systems, and enhance efficiency using RPA, AI, workflow automation, and custom APIs. Collaborate with product owners, leads, and connected teams to deliver modular, governed, and scalable RPA solutions, leveraging both traditional RPA tools and the Microsoft Power Platform, including Copilot Studio for advanced conversational automation. Key Responsibilities Design and implement end-to-end RPA workflows using tools like UiPath or Automation Anywhere, integrated with Power Automate and Cloud Flows for cloud-based automation. Implement review loops and performance feedback capture using Teams Adaptive Cards and form inputs. Configure SharePoint as a backend for structured and versioned data storage. Develop custom connectors and integrations to third-party tools via RPA HTTP actions, Power Automate connectors, and REST APIs. Enable modular workflow components such as approvals, scheduling, localization, metadata tagging, and versioning using Power Apps for low-code UI extensions. Implement logic for prompt-triggered AI output generation, approvals, and publishing workflows, enhanced by Copilot Studio for conversational orchestration. Write lightweight Python scripts for API interactions, data enrichment, or orchestration logic. Integrate AI/ML models into workflows for tasks, leveraging frameworks like TensorFlow or PyTorch for optimization and feedback-driven improvements. Create and manage Dev, Test, and Production environments in the Power Platform and RPA ecosystems. Collaborate with cross-functional teams to understand use cases, design RPA bots, logic flows, and deliver usable solutions. Support QA, staging, and production deployments with appropriate validation and documentation. Monitor and optimize RPA bots and automation runs, handle exceptions, and implement retry logic. Implement logging, error handling, and audit tracking via SharePoint/Excel. Ensure RPA solutions are modular, reusable, and governed for long-term scalability. Conduct dry runs, validate routing/approvals, and document Definition of Done (DoD) and acceptance criteria. Required Skills & Experience Proven expertise in RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism) and building flows with Power Automate (cloud) and Microsoft Copilot Studio. Experience with SharePoint Online libraries and lists for storing structured data. Proficiency in designing and implementing Microsoft Adaptive Cards with Copilot Studio, form inputs, and dynamic Teams message-based workflows for data collection and UI customization. Skilled in HTTP connector integration and consuming REST APIs (e.g., OAuth 2.0, token-based authentication). Strong Python skills for API handlers, JSON formatting, and external API interactions. Familiarity with Agentic AI, LLMs SDKs, RL frameworks, and data processing libraries (e.g., PyTorch, Pandas, NLTK, spaCy). Experience with Power Apps for low-code UI extensions and Cloud Flows for cloud-based RPA automation. Ability to set up Power Platform environments (Dev, Staging, Production). Knowledge of the Microsoft 365 ecosystem (Teams, Outlook, Excel, Microsoft Forms, SharePoint). Desirable Skills (Nice to Have) Proficiency in front-end development with React, including REST API integration and state management (e.g., Redux, Context API). Familiarity with CMS tools (e.g., Drupal, WordPress) and how to integrate with them. Understanding of localization workflows, metadata tagging, and version control strategies. Knowledge of performance monitoring tools (e.g., Google Analytics, Search Console). Preferred Qualifications Bachelor’s degree in computer science, Information Systems, or equivalent. Microsoft Power Platform certifications (PL-900, PL-100, PL-200, PL-400 preferred). RPA certifications (e.g., UiPath RPA Developer, Automation Anywhere Certified Advanced RPA Professional). Experience with AI/ML API integration (e.g., OpenAI, Azure Cognitive Services). Soft Skills Strong communication to interact with business stakeholders and translate ideas into actionable flows. Organized, structured mindset with curiosity for iterative enhancements and feedback. Proactive in documenting flows, creating knowledge base articles, and conducting dry runs. To Apply Send your CV to arun.murugadoss@aitrg.com and sanjay.paul@aitrg.com with the subject line: RPA Developer and a Cover Letter [Important] in the format below . 1. Hands on Experience Self Rating Levels [ 1 to 5]: Power Automate Cloud Workflows - Microsoft CoPilot Studio - Adaptive Cards, Forms & UI Development - Power Automate HTTP/Rest APIs - SharePoint Management - APIs & Integration Management - Data Processing & Management - Python, JSON, XML Programming - Azure ML, Azure Functions - ML, RL Frameworks, LLM SDKs - CI/CD, Cloud Deployment - 2. Expectations: Current Location - Current Organization - Current CTC - Expected CTC - Availability to Join/Notice Period - Open to come to Office [Chennai] - 3. What is your understanding of the role and responsibilities? 4. Why do you think you are fit for the role? 5. Hands-on Project Experience highlight details on above self-rating skills [If any]

Job Title: Customer Data Platform (CDP) & Marketing Analytics Specialist Location: Hyderabad Experience Level: 5+ Years Employment Type: Full-time About the Role: We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have hands-on experience with Customer Data Platforms (CDPs) and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale. Key Responsibilities: Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP. Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc. Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies. Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters). Perform advanced analytics, including: Customer Lifetime Value (CLV) estimation Churn prediction and retention modeling Attribution analysis to evaluate campaign ROI Sentiment and intent analysis using NLP on social media, chat, and survey data Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels Propensity model to forecast the likelihood of customer actions such as purchases, upgrades, or churn Build and operationalize predictive models and apply GenAI techniques for: Automated customer service chatbots Content generation and personalization Synthetic data generation for simulation and testing Implement real-time decisioning engines and API-based integrations with advertising platforms (Google Ads, Meta, etc.) for dynamic campaign execution. Continuously monitor and tune models and pipelines for optimal performance and data freshness. Collaborate with cross-functional teams including marketing, data engineering, product, and analytics. Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Marketing Analytics, or a related field. 5+ years of experience in CDP implementation and marketing analytics. Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers). Experience deploying GenAI applications and understanding of LLM frameworks. Familiarity with campaign attribution models, marketing funnels, and retention strategies. Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon Data, or Salesforce CDP. Exposure to MLOps practices and model monitoring pipelines. Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce).

Senior Backend Engineer – Python (AI-Powered Systems) Location: Infopark Koratty, Chalakkudy, Kerala Employment Type: Full-Time, Onsite Experience: 5+ Years About the Role We are looking for a Senior Backend Engineer – Python who has a solid foundation in backend architecture, real-time systems, and Python development. You will be leading the backend development of AI-powered applications, particularly chatbots and voice bots. This role involves hands-on system design, team mentoring, and building robust, secure, scalable services. Responsibilities Architect and implement scalable Python-based backend services, particularly for AI-driven applications (e.g., chatbots, voice bots). Design modular and maintainable codebases, including setting up repository structures and database schema design. Lead and mentor developers through all phases of development—from concept to deployment. Develop APIs using FastAPI, with robust validation using Pydantic and asynchronous capabilities. Implement ORM and migrations using SQLAlchemy and Alembic. Integrate task queues using Celery and background processing effectively. Build and optimize database systems, including MySQL, PostgreSQL, and related tools. Integrate LLMs (e.g., OpenAI, HuggingFace Transformers) into backend systems to support conversational AI capabilities. Use AI/NLP libraries such as NLTK, scikit-learn, or equivalents in production-level applications. Implement containerization using Docker and maintain version control with Git. Contribute to and maintain CI/CD pipelines for smooth and reliable deployments. Conduct code reviews to ensure high-quality, maintainable, and well-documented code. Requirements 5–6 years of experience in Python backend development, preferably in AI product environments. Proven experience in designing backend architectures from scratch for real-time or intelligent systems. Strong knowledge of: FastAPI, Pydantic, SQLAlchemy, Alembic Celery, Purest, LLM-specific libraries (e.g., OpenAI SDK, HuggingFace) AI/ML-related Python libraries: NLTK, scikit-learn Experience with PostgreSQL, MySQL, and database design best practices. Familiarity with containerization using Docker and basic knowledge of CI/CD tools and Git workflows. Experience deploying and integrating LLM-powered applications, including chatbots or voice bots, into production. Strong understanding of software engineering best practices, with experience conducting code reviews and mentoring team members. Preferred Experience in multi-tenant or multi-service application design. Exposure to cloud platforms like AWS, Azure, or GCP. Job Type: Full-time Pay: ₹700,000.00 - ₹1,500,000.00 per year Ability to commute/relocate: Thrissur, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current annual salary (INR, in Lakhs)? What is your expected annual salary (INR, in Lakhs)? What is your current notice period (in days )? Experience: Python backend development: 5 years (Required) FastAPI: 3 years (Preferred) SQLAlchemy and Alembic: 3 years (Preferred) integrating LLMs : 2 years (Preferred) Work Location: In person Speak with the employer +91 8594096036

As an AI / ML Engineer, you’ll: Work with large datasets to extract insights and build predictive models. Develop and implement machine learning and non-ML algorithms tailored to business problems. Use statistical languages such as Python, R, etc., to manipulate data and draw insights. Apply techniques like clustering, decision trees, boosting, neural networks, and more. Build and fine-tune models for NLP, Computer Vision, Time Series Forecasting, etc. Utilize LLMs (Large Language Models), perform fine-tuning, and implement GenAI solutions including Retrieval-Augmented Generation (RAG). Collaborate with functional teams to integrate models and monitor outcomes. Assist in evaluating the accuracy of data sources and improving data gathering techniques. Use Git for code version control and collaborate effectively in a team environment. What We’re Looking For: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or related disciplines. Strong foundational knowledge in data structures, algorithms, and applied statistics. Hands-on experience or academic projects using Python, R, or similar languages. Familiarity with ML libraries: TensorFlow, PyTorch, Scikit-learn, SciPy, XGBoost, etc. Exposure to NLP and Computer Vision libraries: SpaCy, NLTK, OpenCV, etc. Understanding of cloud platforms: Google Cloud Platform (GCP), AWS, Azure, etc. Exposure to LLM fine-tuning and GenAI tools is a must. A passion for continuous learning and the ability to adapt to new technologies quickly.

Responsibilities: · Lead end-to-end development of AI/ML solutions with a strong focus on GenAI, NLP, and LLMs. · Evaluate and fine-tune open-source and proprietary LLMs (e.g., GPT, LLaMA, Mistral, Claude, Cohere). · Build and deploy NLP pipelines for tasks such as text summarization, question answering, semantic search, and text classification. · Architect and implement custom RAG (Retrieval-Augmented Generation) pipelines. · Conduct prompt engineering and prompt tuning for specific business use cases. · Design and implement A/B tests, experiments, and statistical analysis to measure model performance. · Collaborate with cross-functional teams including data engineers, ML engineers, product managers, and domain experts. · Contribute to research papers, technical blogs, or whitepapers representing company innovation. · Guide and mentor junior data scientists and analysts. Requirements: · 5–8 years of experience in Data Science or Machine Learning roles. · Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Statistics, Mathematics , or a related field. · Strong hands-on experience with GenAI , LLMs , and modern NLP architectures (e.g., Transformers, BERT, T5, GPT, etc.). · Proficiency with Python and key ML/NLP libraries: PyTorch, Hugging Face Transformers, Lang Chain, spaCy, NLTK, etc. · Deep understanding of embedding models , vector databases (e.g., FAISS, Pinecone, Weaviate), and RAG techniques. · Experience in training/fine-tuning large-scale models on cloud GPU environments. · Expertise in ML Ops tools and techniques (CI/CD for ML, model monitoring, versioning). · Strong background in Analytics , Statistical modelling , A/B testing , and Data Visualization . · Experience with cloud platforms: AWS, GCP, or Azure. · Solid understanding of software engineering principles and scalable ML system design. Intrested candidate please share updated CV on this id:- bunty@consint.ai or DM directly.

Senior Backend Engineer – Python (AI-Powered Systems) Location: Infopark Koratty, Chalakkudy, Kerala Employment Type: Full-Time, Onsite Experience: 5+ Years About the Role We are looking for a Senior Backend Engineer – Python who has a solid foundation in backend architecture, real-time systems, and Python development. You will be leading the backend development of AI-powered applications, particularly chatbots and voice bots. This role involves hands-on system design, team mentoring, and building robust, secure, scalable services. Responsibilities Architect and implement scalable Python-based backend services, particularly for AI-driven applications (e.g., chatbots, voice bots). Design modular and maintainable codebases, including setting up repository structures and database schema design. Lead and mentor developers through all phases of development—from concept to deployment. Develop APIs using FastAPI, with robust validation using Pydantic and asynchronous capabilities. Implement ORM and migrations using SQLAlchemy and Alembic. Integrate task queues using Celery and background processing effectively. Build and optimize database systems, including MySQL, PostgreSQL, and related tools. Integrate LLMs (e.g., OpenAI, HuggingFace Transformers) into backend systems to support conversational AI capabilities. Use AI/NLP libraries such as NLTK, scikit-learn, or equivalents in production-level applications. Implement containerization using Docker and maintain version control with Git. Contribute to and maintain CI/CD pipelines for smooth and reliable deployments. Conduct code reviews to ensure high-quality, maintainable, and well-documented code. Requirements 5–6 years of experience in Python backend development, preferably in AI product environments. Proven experience in designing backend architectures from scratch for real-time or intelligent systems. Strong knowledge of: FastAPI, Pydantic, SQLAlchemy, Alembic Celery, Purest, LLM-specific libraries (e.g., OpenAI SDK, HuggingFace) AI/ML-related Python libraries: NLTK, scikit-learn Experience with PostgreSQL, MySQL, and database design best practices. Familiarity with containerization using Docker and basic knowledge of CI/CD tools and Git workflows. Experience deploying and integrating LLM-powered applications, including chatbots or voice bots, into production. Strong understanding of software engineering best practices, with experience conducting code reviews and mentoring team members. Preferred Experience in multi-tenant or multi-service application design. Exposure to cloud platforms like AWS, Azure, or GCP. Job Type: Full-time Pay: ₹700,000.00 - ₹1,500,000.00 per year Ability to commute/relocate: Thrissur, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current annual salary (INR, in Lakhs)? What is your expected annual salary (INR, in Lakhs)? What is your current notice period (in days )? Experience: Python backend development: 5 years (Required) FastAPI: 3 years (Preferred) SQLAlchemy and Alembic: 3 years (Preferred) integrating LLMs : 2 years (Preferred) Work Location: In person Speak with the employer +91 8594096036

Project Role : AI / ML Engineer 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 : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment., 15 years full time education

Project Role : AI / ML Engineer 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 : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment., 15 years full time education

Senior Backend Engineer – Python (AI-Powered Systems) Location: Infopark Koratty, Chalakkudy, Kerala Employment Type: Full-Time, Onsite Experience: 5+ Years About the Role We are looking for a Senior Backend Engineer – Python who has a solid foundation in backend architecture, real-time systems, and Python development. You will be leading the backend development of AI-powered applications, particularly chatbots and voice bots. This role involves hands-on system design, team mentoring, and building robust, secure, scalable services. Responsibilities Architect and implement scalable Python-based backend services, particularly for AI-driven applications (e.g., chatbots, voice bots). Design modular and maintainable codebases, including setting up repository structures and database schema design. Lead and mentor developers through all phases of development—from concept to deployment. Develop APIs using FastAPI, with robust validation using Pydantic and asynchronous capabilities. Implement ORM and migrations using SQLAlchemy and Alembic. Integrate task queues using Celery and background processing effectively. Build and optimize database systems, including MySQL, PostgreSQL, and related tools. Integrate LLMs (e.g., OpenAI, HuggingFace Transformers) into backend systems to support conversational AI capabilities. Use AI/NLP libraries such as NLTK, scikit-learn, or equivalents in production-level applications. Implement containerization using Docker and maintain version control with Git. Contribute to and maintain CI/CD pipelines for smooth and reliable deployments. Conduct code reviews to ensure high-quality, maintainable, and well-documented code. Requirements 5–6 years of experience in Python backend development, preferably in AI product environments. Proven experience in designing backend architectures from scratch for real-time or intelligent systems. Strong knowledge of: FastAPI, Pydantic, SQLAlchemy, Alembic Celery, Purest, LLM-specific libraries (e.g., OpenAI SDK, HuggingFace) AI/ML-related Python libraries: NLTK, scikit-learn Experience with PostgreSQL, MySQL, and database design best practices. Familiarity with containerization using Docker and basic knowledge of CI/CD tools and Git workflows. Experience deploying and integrating LLM-powered applications, including chatbots or voice bots, into production. Strong understanding of software engineering best practices, with experience conducting code reviews and mentoring team members. Preferred Experience in multi-tenant or multi-service application design. Exposure to cloud platforms like AWS, Azure, or GCP.

Role & responsibilities Impact Based Forecasting Collaborate with other members of the IT team, meteorologists, hydrologists, GIS specialists, and disaster risk management experts within RIMES to ensure the development of IBF DSS. Develop AI models (e.g., NLP, computer vision, reinforcement learning) Integrate models into applications and dashboards. Ensure model explainability and ethical compliance. Assist the RIMES Team in applying AI/ML models to forecast hazards and project likely impacts based on exposure and vulnerability indices. Work with forecasters and domain experts to automate the generation of impact-based products. Ensure data security, backup, and compliance with data governance and interoperability standards. Train national counterparts on the use and management of the AL, including analytics dashboards. Collaborate with GIS experts, hydromet agencies, and emergency response teams for integrated service delivery. Technical documentation on data architecture, models, and systems. Capacity Building and Stakeholder Engagement Facilitate training programs for team members and stakeholders, focusing on RIMES policies, regulations, and the use of forecasting tools. Develop and implement a self-training plan to enhance personal expertise, obtaining a trainer certificate as required. Prepare and implement training programs to enhance team capacity and submit training outcome reports. Reporting Prepare technical reports, progress updates, and outreach materials for stakeholders. Maintain comprehensive project documentation, including strategies, milestones, and outcomes. Capacity-building workshop materials and training reports. Other Responsibilities Utilize AI skills to assist in system implementation plans and decision support system (DSS) development. Utilize skills to assist in system implementation plans and decision support system (DSS) development. Assist in 24/7 operational readiness for client early warning systems such as SOCs, with backup support from RIMES Headquarters. Undertake additional tasks as assigned by the immediate supervisor or HR manager based on recommendations from RIMES technical team members and organizational needs. The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that could be needed from time to time. Preferred candidate profile Minimum of 3 years of experience in data engineering, analytics, or IT systems for disaster management, meteorology, or climate services. Experience in multi-stakeholder projects and facilitating capacity-building programs. Machine Learning Fundamentals: Deep understanding of various ML algorithms, including supervised, unsupervised, and reinforcement learning. This includes regression, classification, clustering, time series analysis, anomaly detection, etc. Deep Learning: Proficiency with deep learning architectures (e.g., CNNs, RNNs, LSTMs, Transformers) and frameworks (TensorFlow, PyTorch, Keras). Ability to design, train, and optimize complex neural networks. Strong programming skills in Python, with extensive libraries (NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Seaborn, GeoPandas). Familiarity with AI tools: such as PyTorch, TensorFlow, Keras, MLflow, etc. Data Visualization: Ability to create clear, compelling visualizations to communicate complex data and model outputs. Familiarity with early warning systems, disaster risk frameworks, and sector-specific IBF requirements is a strong plus. Proficiency in technical documentation and user training. Contract Duration The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews. How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references to rimeshra-india@rimes.int by midnight of 1 October 2025, Bangkok time. Please state AI SpecialistImpact-Based Forecasting: Your Name the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head-Department of Operational Support Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.