137 Spacy Jobs

Design, implement, and optimize NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and language generation. - Utilize libraries such as NLTK, SpaCy, TensorFlow, or PyTorch for model development. Preprocess and clean large datasets, ensuring data quality and integrity for NLP applications. - Develop scripts to automate data extraction, transformation, and loading (ETL) processes. Work closely with data scientists, analysts, and other stakeholders to understand project requirements and deliver effective NLP solutions. - Collaborate in an Agile environment, participating in sprint planning and code reviews. Analyze and improve the performance of existing NLP models and algorithms. - Implement best practices for model evaluation and validation. Document processes, methodologies, and model performance metrics. - Present findings and insights to technical and non-technical stakeholders.

Optum is a global organization dedicated to improving health outcomes by leveraging technology to connect individuals with the care, pharmacy benefits, data, and resources necessary for optimal well-being. As part of our team, you will contribute to advancing health equity on a global scale while experiencing a culture that values diversity, inclusion, and professional growth opportunities. We invite you to join us in making a positive impact on the communities we serve through caring, connecting, and growing together. In this role, you will lead the development and implementation of advanced Natural Language Processing (NLP) models and other data-driven AI systems. Your responsibilities will include conducting thorough data analysis, designing intricate machine learning models, and algorithms to derive insights from both structured and unstructured data. Collaboration with cross-functional teams will be essential in deploying these models, monitoring outcomes, and making necessary adjustments based on performance metrics. You will be tasked with preparing detailed reports and technical papers outlining data analysis findings in a clear and concise manner for various stakeholders. Additionally, overseeing data extraction, validation, and summarization processes will be crucial, along with effectively communicating updates and insights to stakeholders in a timely fashion. Your ability to identify potential issues or discrepancies in data analysis or modeling, report them to relevant parties, and ensure prompt resolution will be key to success in this role. Furthermore, compliance with employment contract terms, company policies, and procedures is expected. This includes adhering to directives related to potential work location changes, team reassignments, shift modifications, flexible work benefits, and other business environment adjustments. The Company reserves the right to modify or revoke these policies and directives at its discretion. To qualify for this position, you should hold a degree in a field emphasizing data science or statistical techniques, such as Computer Science or Applied Mathematics, with a focus on Natural Language Processing. A minimum of 3-4 years of experience in Data Science specializing in Machine Learning and NLP is required. Proficiency in Python, R, SQL, and NLP libraries like NLTK, SpaCy, and BERT is essential. Strong communication skills, adaptability to varying shifts, and the ability to present complex data in different formats are also necessary. Leadership capabilities, meeting deadlines, problem-solving skills, and an analytical mindset are attributes that will be valued in this role. This position is based in Mumbai, Maharashtra, India.,

Bold is seeking for newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOULL DO Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team.? WHAT YOULL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Fine-tuning knowledge is good to have. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. WHAT&aposS GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins EXPERIENCE- Module Lead- 5.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don&apost discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

Job Title: Software Engineer - Machine Learning Engineer – LLM/GenAI Focus Location: Airoli, Navi Mumbai Experience Required: Minimum 2 years’ relevant experience in Python Key Responsibilities Design, develop, and implement machine learning (ML) and natural language processing (NLP) models and solutions. Build, fine-tune, and deploy Large Language Models (LLMs) and Generative AI (GenAI) applications. Write, maintain, and optimize Python code for ML and NLP projects. Work with databases to collect, clean, and manage datasets for model training and evaluation. Deploy ML models and Python applications on public cloud platforms (Azure/AWS). Collaborate with cross-functional teams to define business requirements and deliver solutions. (Good to have) Support and implement best practices for LLMOps, including monitoring and lifecycle management of LLM/GenAI models. Requirements Relevant experience: Minimum 2 years in machine learning, NLP, or AI solution development. Python programming: 1–2 years of hands-on experience. ML/NLP: 2+ years practical experience building and deploying ML/NLP solutions. LLM and GenAI: At least 1 year working with LLM (Large Language Models) and Generative AI technologies. Databases: 1+ years of experience working with any modern database (SQL/NoSQL). Cloud Deployment: 1+ years of experience deploying ML models or Python applications on Azure or AWS. Good to have: Familiarity with LLMOps tools or frameworks for managing LLM/GenAI models. Preferred Skills Familiarity with major ML/NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, Hugging Face Transformers). Understanding of software engineering best practices, version control, and model lifecycle management. Strong analytical and problem-solving skills. Effective communication and teamwork abilities. Customize the job title and location as needed for your organization. Let me know if you need further tailoring such as salary range, team structure, or a company introduction. Disclaimer: GeBBS never charges fees or accepts payments for job applications. Any such requests should be reported immediately to reporthr@gebbs.com.

About The Role : Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How well support you

Required Skills and Qualifications. 7+ years of experience as a Python Developer with a strong portfolio of projects. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred Skills and Qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Roles and Responsibilities Objectives of the Role Develop, test and maintain high-quality software using Python programming language. Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Able to articulate, write the unit test cases to execute. Your Tasks Create large-scale data processing pipelines to help developers build and train novel machine learning/Artificial Intelligence algorithms and data engineering development. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development.

Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

As a Sr. Consultant- Data Scientist at Firstsource Solutions Limited, you will be responsible for designing and implementing advanced Machine Learning (ML) and Deep Learning (DL) models. Your role will involve developing web applications using Flask and FastAPI for real-time data processing and user interaction. Additionally, you will conduct exploratory data analysis, create data processing pipelines, and utilize Generative AI techniques to enhance content generation. Collaboration is key in this role as you will work closely with cross-functional teams to integrate AI capabilities into products and systems. Staying updated with the latest advancements in AI, ML, DL, Computer Vision (CV), and Natural Language Processing (NLP) is crucial to drive innovation within the organization. Effective communication skills are essential for conveying complex quantitative analysis to senior management and other departments in a clear and actionable manner. To qualify for this position, you should possess a Bachelors or Masters or PhD degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling is required. Strong coding skills in Python, proficiency in ML and DL frameworks (such as PyTorch, TensorFlow), CV tools (like OpenCV), and NLP libraries (such as NLTK, spaCy) are essential. Prior experience with generative models like GANs, VAEs, or Transformers, along with deployment skills in Docker, Kubernetes, and CI/CD pipelines, is advantageous. Analytical aptitude and excellent communication skills are also necessary for this role. Possessing certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. Please note that Firstsource maintains a fair, transparent, and merit-based hiring process and does not solicit money at any stage. Beware of fraudulent offers and always verify information through official channels or @firstsource.com email addresses.,

As a Senior Data Scientist / AI Engineer with 8-10 years of experience, you will be a vital part of our team working on developing an AI-enabled ERP solution. Your primary responsibilities will include designing scalable AI models, implementing ML pipelines, and exploring the latest AI technologies to drive innovation. Additionally, you will play a crucial role in managing and mentoring a team of data scientists and AI engineers to foster a collaborative and efficient work environment. Your key responsibilities will involve designing and building AI models from scratch, optimizing machine learning algorithms, and integrating them into our ERP solution. You will also be responsible for developing and maintaining an AI development and deployment pipeline using cloud and containerized solutions. Furthermore, conducting R&D activities to identify opportunities for AI-driven automation, working on sentiment analysis, NLP, and computer vision tasks, and deploying ML models while ensuring seamless integration into production systems will be part of your role. Collaboration with product teams to align AI strategies with business objectives, leading and mentoring a team of data scientists and AI engineers, and fostering a collaborative team culture are essential aspects of this role. Your expertise in Python and ML frameworks, strong understanding of ML algorithms, experience with deep learning architectures, NLP, and computer vision, along with hands-on experience in deploying AI models using Flask APIs, Docker, and Kubernetes are critical for success in this position. Preferred skills include knowledge of Java, experience with software development best practices, understanding of SDLC, version control, CI/CD pipelines, and experience with Big Data technologies. If you are passionate about working with AI-driven products and have a proven track record of solving real-world challenges, we are excited to hear from you! This is a full-time position located in Trivandrum/Kochi, with a remote option available initially. If you have a minimum of 8 years of experience in AI, Machine Learning, or Data Science roles, and have worked on AI model deployment or building AI pipelines, we encourage you to apply. Leadership and team management experience, along with the ability to guide and develop junior team members, are essential requirements for this role. Your strong problem-solving skills, ability to articulate AI concepts effectively, and experience in interacting with clients to communicate AI-driven solutions will be highly valued.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,

We are looking for a passionate Python developer to join our team at Billions United. You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks, and collaborating with other teams to define, design, and ship new features. You will also be working on data engineering problems and building data pipelines. Objectives of this Role Develop, test, and maintain high-quality software using Python programming language. Participate in the entire software development lifecyclebuilding, testing, and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Your Tasks Create large-scale data processing pipelines to support machine learning development. Participate in code reviews to ensure code quality and identify areas for improvement. Debug code and troubleshoot Python-related issues. Stay updated with emerging trends and technologies in Python development. Required Skills and Qualifications Freshers or 1+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering, or a related field. In-depth knowledge of Python stacks, frameworks, and tools such as NumPy, SciPy, Pandas, Dask, spaCy, NLTK, Scikit-learn, and PyTorch. Experience with front-end technologies like HTML, CSS, and JavaScript. Familiarity with SQL and NoSQL databases. Excellent problem-solving, communication, and collaboration skills. Preferred Skills and Qualifications Experience with frameworks such as Django, Flask, or Pyramid. Knowledge of data science and machine learning concepts and tools. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Contributions to open-source Python projects or active involvement in the Python community.

We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If youre passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workflows involving memory, planning, and decision-making tools. Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows. Apply NLP techniques to process and extract insights from unstructured legal data. Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB Key Requirements Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn. Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization. Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents. Skilled in building APIs using FastAPI and managing ML workflows with MLflow. Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases. Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments. Strong grasp of data structures, statistical modelling, and backend database architecture.

"Key Responsibilities: Develop and implement open-source and proprietary Large Language Models (LLMs). Design, train, and deploy machine learning and deep learning algorithms. Integrate AI capabilities using Langchain, Pinecone, ChromaDB, and other AI frameworks. Apply data preprocessing techniques (feature engineering, normalization, dimensionality reduction). Optimize models through experimentation, tuning, and continuous improvement. Stay current with advancements in AI research, publications, and tools. Collaborate with backend developers to implement RESTful APIs. Create and maintain high-quality technical documentation. Debug and upgrade existing systems, incorporating user feedback. Write and manage performant, scalable APIs and services. Skills & Qualifications: Proficient in Python and frameworks such as Django REST Framework. Strong command of AI libraries: NumPy, NLTK, SpaCy, Torch, Sentence-Transformers, TensorFlow, PyTorch, scikit-learn. Experience with prompt engineering and AI-powered NLP tools. Familiarity with Generative AI (GenAI) approaches. Proficient in MySQL, vector databases (e.g., Pinecone, ChromaDB), and API/plugin integrations. Solid foundation in object-oriented programming, scalable application development, and use of Bitbucket or similar version control tools. Basic knowledge of front-end technologies: HTML5, CSS3/4, JavaScript, Ajax, XML. Experience with Agile methodologies and Test-Driven Development (TDD) environments. Exposure to NLP, Computer Vision, or other specialized AI domains is an advantage."

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

As a skilled and visionary AI Lead at Matellio, you will be responsible for driving the development of advanced AI solutions. This dual role will require you to provide technical leadership and hands-on development expertise, making it an ideal position for individuals who excel at solving complex problems using machine learning, NLP, and LLM technologies. Your key responsibilities will include leading and mentoring a team of 45 AI/ML engineers, overseeing the entire project lifecycle from research to production deployment. You will be tasked with designing and owning high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaboration with sales and business development teams to create technical proposals, solution designs, and architecture diagrams for Sales Qualified Leads (SQLs) will also be part of your role. Additionally, you will work as an individual contributor when necessary, focusing on developing key components of solutions to accelerate delivery and establish best practices. Your responsibilities will extend to researching, designing, and implementing machine learning and deep learning models, including fine-tuning and deploying LLMs like GPT and BERT for production use cases. Building NLP pipelines and retrieval-augmented generation (RAG) systems using tools such as LangChain, LangGraph, and vector databases like FAISS, Pinecone, and Weaviate will also be crucial. You will be expected to apply statistical techniques to feature engineering, model evaluation, and performance optimization, ensuring adherence to code quality, testing, CI/CD, and documentation standards. Staying up-to-date with the latest advancements in AI/ML and proposing innovative solutions will be essential. Conducting code reviews, promoting peer learning, and fostering a strong engineering culture will also be part of your responsibilities. To qualify for this role, you should hold a Bachelors, Masters, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. Additionally, you should have at least 7 years of hands-on experience in AI/ML model development and deployment. Proven expertise in leading technical teams and delivering production-grade AI/ML solutions is required. Strong architectural skills with experience in designing end-to-end solutions involving cloud, APIs, and ML models are essential. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is necessary, along with hands-on experience in NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs, as well as building GenAI solutions, is expected. Familiarity with tools like LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone) will be advantageous. A solid understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to utilize them, experience deploying models and services using REST APIs, Docker, and CI/CD pipelines, and exposure to cloud platforms such as AWS, GCP, or Azure are highly desirable. Excellent analytical thinking, problem-solving, and communication skills will be crucial for success in this role.,

You will be joining Firstsource Solutions Limited as a Data Scientist where you will be utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to develop innovative data-driven solutions and applications. Your role will involve designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Your responsibilities will include designing and implementing advanced ML and DL models, developing web applications for model deployment to enable real-time data processing and user interaction, performing exploratory data analysis to understand underlying patterns and trends, creating data processing pipelines to prepare large datasets for analysis and modeling, employing Generative AI techniques for content generation, and collaborating with cross-functional teams to integrate AI capabilities into products and systems. To excel in this role, you should have a BE, Masters, or PhD in Computer Science, Data Science, Statistics, or a related field, along with 5 to 7 years of relevant experience in a data science role focusing on ML, DL, and statistical modeling. Strong coding skills in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV), and NLP libraries (e.g., NLTK, spaCy) are essential. Experience with generative models such as GANs, VAEs, or Transformers, deployment skills with Docker, Kubernetes, and CI/CD pipelines, and excellent analytical and communication skills are also required. Certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. This position is available in multiple locations including Hyderabad, Mumbai, Bangalore, and Chennai. Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Be cautious of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

You will be working as a Data Scientist at FSL, utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to create innovative data-driven solutions and applications. Your role will involve designing and implementing advanced ML and DL models, developing web applications for model deployment using Flask and FastAPI, and ensuring efficient deployment and monitoring of these systems. Additionally, you will be responsible for performing data analysis, including exploratory data analysis to identify patterns and trends, as well as developing data processing pipelines to prepare large datasets for analysis and modeling. Your tasks will also include utilizing Generative AI techniques to create new data points and enhance content generation, collaborating with cross-functional teams to integrate AI capabilities into products, and ensuring that AI solutions align with business goals and user requirements. You will need to stay updated with the latest AI, ML, DL, CV, and NLP developments, explore new technologies, and effectively communicate complex quantitative analysis to senior management and other departments. To qualify for this role, you should have a BE, Masters, or PhD in Computer Science, Data Science, Statistics, or a related field, along with 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling. Your technical skills should include strong coding abilities in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (PyTorch, TensorFlow), CV (OpenCV), and NLP libraries (NLTK, spaCy). Experience with generative models like GANs, VAEs, or Transformers, as well as deployment skills with Docker, Kubernetes, and CI/CD pipelines, are also required. Strong analytical skills, excellent communication skills, and certifications in Data Science, ML, or AI from recognized institutions will be advantageous. This position is available in Hyderabad, Mumbai, Bangalore, and Chennai.,

Educational Requirements Bachelor of Engineering Service Line Application Development and Maintenance Responsibilities Design and develop Python-based applications with integrated AI capabilities. Work on AI-driven solutions such as chatbots, recommendation systems, intelligent agents, or knowledge-based systems. Collaborate with cross-functional teams to gather requirements and deliver AI-powered features. Integrate third-party AI APIs and services (e.g., OpenAI, Azure Cognitive Services). Optimize performance and scalability of AI components. Maintain high standards of code quality and documentation Additional Responsibilities: Experience6+ YearsLocationBangalore Technical and Professional Requirements: Strong proficiency in Python and its standard libraries. Experience with AI concepts such as expert systems, symbolic AI, NLP, or heuristic algorithms. Familiarity with AI tools and libraries like spaCy, NLTK, OpenAI API, or LangChain. Experience with REST APIs, microservices, and cloud platforms (AWS, Azure, GCP). Strong understanding of data structures, algorithms, and software design principles. Excellent communication and problem-solving skills. Experience with AI integration in enterprise applications. Exposure to knowledge representation, semantic web, or ontology modeling. Experience working in Airline Domain will be added advantage Certifications in AI or cloud technologies. Preferred Skills: Technology-Machine Learning-Python Technology-Machine Learning-Responsible AI

Key Responsibilities: Design and Implement RAG-Based Solutions: Lead the development of a robust RAG-based system that seamlessly integrates generative AI models with retrieval mechanisms, ensuring optimal accuracy, performance, and scalability. Agent-Based Solution Development : Build AI agents that can autonomously perform tasks using information retrieval, language models, and multi-turn interactions using AutoGen, LangGraph frameworks. Generative AI Integration : Leveraging LLMs (e.g., GPT, Anthropic, Llama, Deepseek etc.) for generating high-quality, contextually accurate content in response to user queries. Prompt Engineering: Strong proficiency in prompt engineering to design, test, and optimize prompts for large language models, ensuring effective agent behavior and task completion Data & Knowledge Integration : Work on integrating structured and unstructured data sources into the RAG framework to improve model outputs. Collaborate with Teams : Work closely with product, engineering, and data science teams to ensure seamless integration of AI capabilities into broader products. Security & Compliance : Ensure following best practices in data security, privacy, and compliance, particularly in AI-driven applications. Model Evaluation : Implement strategies for continuous evaluation, monitoring, and tuning of models to ensure high-quality outputs. Data Pipeline Design : Build robust data pipelines for preprocessing and integrating structured and unstructured data sources into the platform. Collaborate with Teams : Work closely with data engineers, and software engineers to ensure seamless integration of machine learning models into production environments. Performance Optimization : Implement and experiment with various techniques such as vector search , semantic search , and knowledge distillation to enhance the platforms efficiency and accuracy. Data Quality : Ensure data quality and consistency throughout the data pipeline, implementing necessary quality checks and validation processes. Requirements: 4+ years of experience with building GenAI solutions using Python and Langchain and AutoGen technologies. Agentic AI experienced developing agents using AutoGen and LangGraph frameworks. Prior experience in building GenAI solutions using effective text representation techniques and classification algorithms. Experience with ML – Model Building, Semantic extraction techniques, data structures and modelling Experience with Supervised/Unsupervised Learning, Sentiment Analysis, Statistical Analysis using NLP and Python libraries (NLTK, Spacy, Numpy, Pandas) Experienced in building Rest API’s Experience with building applications with micro services & serverless architecture Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

You are an experienced professional with 5 to 12 years of experience, looking for a Full-Time opportunity as an Azure Generative AI Engineer. Your primary skills include Data Science, Machine Learning, Python, AI, and Azure. You will be responsible for designing, developing, and deploying Generative AI applications using Python, FastAPI, Azure Durable Functions, and Azure OpenAI Services. You must build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications and work on end-to-end Generative AI projects. Your role involves integrating AI/ML search and data services such as Azure Cognitive Search, Cosmos DB, and other Azure-native tools. Automation of key components of the RAG workflow for ensuring production-grade performance and scalability is crucial. You will be evaluating, validating, and fine-tuning the outputs of Generative AI models for accuracy and relevance, implementing monitoring, observability, and guardrails to ensure responsible and secure use of AI technologies, and collaborating with cross-functional teams to deliver innovative AI solutions. To qualify for this role, you must have strong programming experience in Python, including frameworks like FastAPI and Flask. A deep understanding of Generative AI, LLMs, and RAG methodologies is essential. Proficiency in Azure cloud services, especially Azure OpenAI, Functions, AI Search, and Cosmos DB is required. Hands-on experience with machine learning, deep learning, and natural language processing (NLP) is a must. Familiarity with ML/DL frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn, spaCy, etc., is expected. You should possess solid knowledge of machine learning algorithms, including GPTs, CNNs, RNNs, k-NN, Naive Bayes, SVM, and Decision Forests, along with experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices. Preferred qualifications include certifications in Azure AI Engineer Associate or related fields. Experience working with managed LLMs beyond Azure OpenAI (e.g., OpenAI API, Anthropic, Cohere, etc.) and knowledge of DevOps, CI/CD, and infrastructure automation for AI pipelines are considered advantageous.,

Main Responsibilities Participating in the design and development of end-to-end data science analytics solutions using associated technologies Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets Job Requirement Bachelors or Masters degree in Computer Science, Data science, Data Analytics or a similar fields 2-4 years of working experience Advance knowledge in Python programming and experiences in data science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, re, Plotly, Matplotlib, huggingface, transformer, openai, Langchain) Professional experience in the development of web applications such as WebApps and REST APIs with JavaScript frameoworks and with Python Experience with PowerApps and PowerAutomate Experience with data visualization techniques such as PowerBI etc Experience in Machine Learning especially in the field of supervised machine learning and classification (create, train, apply classifier and evaluate results) Experience in regular expressions and natural language processing creating preprocessing pipelines) Familiar with and comfortable using the latest technological tools, including ChatGPT Working experience with LLMs (incorporate LLMs in WebApps to solve business tasks) and creating prompts for various tasks utilizing Langchain Primary location BASF Innovation campus at Turbhe, Navi Mumbai Job Information technology/Service

Note: 1. Immediate to 30 days serving notice period 2.Who are available for face to face and video can apply Please add more profile for LLM engineer for weekend drive, below is the mandatory skills which delivery is looking for: 5+ years of relevant experience in Python , AI and machine learning - 2+ years of relevant experience in Gen AI LLM Hands-on experience with at least 1 end-to-end GenAI project Worked with LLMs such as GPT, Gemini, Claude, LLaMA, etc LLM skills: RAG, LangChain, Transformers, TensorFlow, PyTorch, spaCy Experience with REST API integration (e.g. FastAPI, Flask) Proficient in prompt types: zero-shot, few-shot, chain-of-thought - Knowledge of model training, fine-tuning, and deployment workflows LLMOPs - atleast 1 cloud (AZURE/AWS) , GITHUB , Docker/Kubernetes , CICD Pipeline - Comfortable with embedding models and vector databases (e.g. FAISS, Pinecone)

Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.