557 Nltk Jobs - Page 11

Job description Data Science SME Location Lower Parel, Mumbai (Onsite) US HOURS Job Requirements: • 6 to 7 years of experience manipulating data sets and building statistical and machine learning models. • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) • Experience Developing Machine Learning / Data Science models, from coding to deployment • 2+ years of experience in teaching or training. • 3+ Years of Hands-on Hybrid Development experience preferred. Skills • Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) • Project Management background preferred. • Knowledge of the Consulting/Sales structure. • Empathy and service attitude • Fast-paced • Project Management experience • Desirable previous international experience (US, Canada, or Europe) • Leading consultants to grow and create tangible benefits and assets. • Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position • Collecting data through means such as analyzing business results or by setting up and managing new studies • Transferring data into a new format to make it more appropriate for analysis • Build tools to automate data collection • Compare and analyze provided statistical information to identify patterns, relationships, and problems • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering • Prepare detailed reports for management and other departments by analyzing and interpreting data • Train assistants and other members of the team how to properly organize findings and read data collected • Design computer code using various languages to improve and update software and applications • Refer to previous instances and findings to determine the ideal method for gathering data • Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering • Prepare detailed reports for management and other departments by analyzing and interpreting data • Train assistants and other members of the team how to properly organize findings and read data collected • Design computer code using various languages to improve and update software and applications • Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): • Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision • Python and SQL coding skills are indispensable • Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform • Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. • Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus • Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets • Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. • Ability to compile and organize statistical information retrieved and present findings to management • Faculty to work toward multiple deadlines simultaneously • Strong problem-solving skills with an emphasis on product development. • Certification in a Cloud-Based/Machine Learning service desirable

Summary Position Summary CORE BUSINESS OPERATIONS The Core Business Operations (CBO) portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE Level: Consultant As a Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work product within due timelines in agile framework. On requirement basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Python developers can take on various job roles, such as back-end web developer, data scientist, automation engineer and machine learning engineer. The work you will do includes: Work on various software projects using Python as their primary programming language. Get involved in developing desktop applications, command-line tools, automation scripts, or backend services. Responsibilities include writing clean, efficient, and maintainable code, collaborating with other team members, and participating in the software development lifecycle. Build web applications using Python along with other technologies such as Django, Flask, or FastAPI to build dynamic websites and web applications. Work on back-end aspects of web development, implementing features, optimizing performance, and ensuring the security of web applications Develop software solutions using industry standard delivery methodologies like Agile, Waterfall across different architectural patterns Write clean, efficient, and well-documented code maintaining industry and client standards ensuring code quality and code coverage adherence as well as debugging and resolving any issues/defects Participate in delivery process like Agile development and actively contributing to sprint planning, daily stand-ups, and retrospectives Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders Develop expertise in end-to-end construction cycle starting from Design (low level and high level), coding, unit testing, deployment and defect fixing along with coordinating with multiple stakeholders Qualifications Skills / Project Experience: Must Have: 3 - 6 years of hands-on experience in writing scalable code in Python programming language with the knowledge of at least one Python web framework like Django, Flask, Fast APIs, etc. Experience in Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch Experience in database technologies such as SQL and NoSQL with ORM implementations. Experience in event-driven programming in Python Proficient understanding of code versioning tools such as Git, SVN, Bitbucket etc. Experience in any one of the cloud computing platforms like AWS, Azure or GCP Experience in Agile/SAFE Agile project development methodologies Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Proficiency in Python and machine learning libraries, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), knowledge of software engineering principles, understanding of cloud computing platforms and deployment pipelines, familiarity with DevOps practices Understanding of Understanding of Experience in Experience with Experience in Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 – 6 years of experience working with Python Location: The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300298

Summary Position Summary CORE BUSINESS OPERATIONS The Core Business Operations (CBO) portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE Level: Consultant As a Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work product within due timelines in agile framework. On requirement basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Python developers can take on various job roles, such as back-end web developer, data scientist, automation engineer and machine learning engineer. The work you will do includes: Work on various software projects using Python as their primary programming language. Get involved in developing desktop applications, command-line tools, automation scripts, or backend services. Responsibilities include writing clean, efficient, and maintainable code, collaborating with other team members, and participating in the software development lifecycle. Build web applications using Python along with other technologies such as Django, Flask, or FastAPI to build dynamic websites and web applications. Work on back-end aspects of web development, implementing features, optimizing performance, and ensuring the security of web applications Develop software solutions using industry standard delivery methodologies like Agile, Waterfall across different architectural patterns Write clean, efficient, and well-documented code maintaining industry and client standards ensuring code quality and code coverage adherence as well as debugging and resolving any issues/defects Participate in delivery process like Agile development and actively contributing to sprint planning, daily stand-ups, and retrospectives Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders Develop expertise in end-to-end construction cycle starting from Design (low level and high level), coding, unit testing, deployment and defect fixing along with coordinating with multiple stakeholders Qualifications Skills / Project Experience: Must Have: 3 - 6 years of hands-on experience in writing scalable code in Python programming language with the knowledge of at least one Python web framework like Django, Flask, Fast APIs, etc. Experience in Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch Experience in database technologies such as SQL and NoSQL with ORM implementations. Experience in event-driven programming in Python Proficient understanding of code versioning tools such as Git, SVN, Bitbucket etc. Experience in any one of the cloud computing platforms like AWS, Azure or GCP Experience in Agile/SAFE Agile project development methodologies Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Proficiency in Python and machine learning libraries, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), knowledge of software engineering principles, understanding of cloud computing platforms and deployment pipelines, familiarity with DevOps practices Understanding of Understanding of Experience in Experience with Experience in Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 – 6 years of experience working with Python Location: The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0 For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300298

Data Scientist (NLP) 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: Bachelor's/Master's degree in Computer Science, Engineering, or a related technical field with minimum 3 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. Interested candidates, please send their resumes to iqbal.kaur@birdeye.com Regards Iqbal kaur

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 : NAMinimum 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

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 : NAMinimum 5 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

Please note its NOT work from home job Interview location : In person We are not conduting any telephonic interviews. Key Skills Ability to work with large data sets using Python. Have a strong background in Python programming, MySQL, Linux, and Machine Learning. Basic knowledge of other relevant technologies, including Cloud computing, Jupyter Notebook, Machine learning algorithms, TensorFlow, PyTorch, Tesseract OCR, and NLP techniques and models such as SpaCy, Bert, NLTK and AutoML. Working through the phases of the project Job Type: Full-time Pay: Up to ₹25,000.00 per month Schedule: Day shift Morning shift Education: Bachelor's (Preferred) Experience: C++: 1 year (Required) Work Location: In person

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Experience: 4- 12 years Location: Hyderabad (5 Days work from office) Working Days: Sunday to Thursday Timings: 10AM to 6PM Note: Please apply if you have minimum 4 years of experience as this is a mid-senior level position Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support. Evaluate and improve the performance of LLMs in real-world scenarios. NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization. Work with large datasets to train and validate NLP models. Collaborate with cross-functional teams to identify and address language-based challenges. Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects. Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality. Stay updated on the latest advancements in automatic speech recognition (ASR). Performance Optimization: Enhance AI model efficiency for scalability and real-time processing. Address biases, improve accuracy, and ensure robustness in all models. Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies. Experiment with emerging techniques and integrate them into company solutions. Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems. Collaborate with product managers, software engineers, and other stakeholders. Requirements Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks). Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face). Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies. Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch. Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously.

Python Developer with Pyspark Hyderabad Role - Fulltime Availability to Join - Immediate Years of experience - 5+ Required skills and qualifications 5+ years of experience as a Python Developer with a strong portfolio of projects. Experience working in Pyspark is must Bachelor's degree in Computer Science, Software Engineering or a related field. 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. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills.

We are seeking a passionate and knowledgeable Artificial Intelligence Trainer to join our educational organization. The ideal candidate will design, develop, and deliver engaging training sessions in AI and related technologies to students and professionals. You will play a key role in empowering learners with real-world AI skills, covering both theoretical foundations and practical applications. Key Responsibilities: Design and deliver comprehensive training programs on AI topics such as: Machine Learning (ML) Deep Learning (DL) Natural Language Processing (NLP) Computer Vision Generative AI (e.g., ChatGPT, DALL·E, etc.) Prepare course materials, lesson plans, hands-on projects, and assessments. Stay updated with the latest AI trends, tools, and best practices. Mentor and guide students through projects, assignments, and capstone work. Evaluate student performance and provide constructive feedback. Collaborate with the academic team to develop customized learning pathways. Conduct webinars, workshops, and bootcamps as required. Support curriculum improvement and new course development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. Proven experience in AI, ML, or Data Science roles (minimum 2–3 years). Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, NLTK, etc. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Prior teaching or training experience preferred. Excellent communication, presentation, and interpersonal skills. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Language: English (Required) Malayalam (Required) Work Location: In person

Experience : 3-4 years JOB DESCRIPTION : ● Should have good command in the Python language. ● Candidates must have knowledge of one of Python frameworks such as Django/Flask and microservices. ● Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. ● Proficiency in object-oriented design, data structures, algorithm design and problem solving. ● Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. ● Well-versed with Prompt Engineering. ● Should have knowledge of Agent Development using any of the tech, e.g., Langchain, AutoGen, CrewAI, etc. ● Knowledge of Computer Vision, OC ● R, etc. ● Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. ● Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc ● Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc ● Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc ● Stay updated with the latest developments in AI, machine learning, and related technologies. ● Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. Job Types: Full-time, Permanent Pay: ₹666,079.95 - ₹1,001,000.33 per year Benefits: Flexible schedule Paid sick time Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Haryana, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): We are looking for immediate joiner or who can join within 15 days Experience: Python: 3 years (Preferred) Work Location: In person Application Deadline: 06/07/2025 Expected Start Date: 24/06/2025

Roles & Responsibilities: • Be responsible for the development of the conceptual, logical, and physical data models • Work with application/solution teams to implement data strategies, build data flows and develop/execute logical and physical data models • Implement and maintain data analysis scripts using SQL and Python. • Develop and support reports and dashboards using Google Plx/Data Studio/Looker. • Monitor performance and implement necessary infrastructure optimizations. • Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality. • Demonstrate excellent collaboration, interpersonal communication and written skills with the ability to work in a team environment. Minimum Qualifications • Hands-on experience with design, development, and support of data pipelines • Strong SQL programming skills (Joins, sub queries, queries with analytical functions, stored procedures, functions etc.) • Hands-on experience using statistical methods for data analysis • Experience with data platform and visualization technologies such as Google PLX dashboards, Data Studio, Tableau, Pandas, Qlik Sense, Splunk, Humio, Grafana • Experience in Web Development like HTML, CSS, jQuery, Bootstrap • Experience in Machine Learning Packages like Scikit-Learn, NumPy, SciPy, Pandas, NLTK, BeautifulSoup, Matplotlib, Statsmodels. • Strong design and development skills with meticulous attention to detail. • Familiarity with Agile Software Development practices and working in an agile environment • Strong analytical, troubleshooting and organizational skills • Ability to analyse and troubleshoot complex issues, and proficiency in multitasking • Ability to navigate ambiguity is great • BS degree in Computer Science, Math, Statistics or equivalent academic credentials

Assistant Manager EXL/AM/1265152 Digital SolutionsNoida Posted On 26 May 2025 End Date 25 Jun 2025 Required Experience 2 - 4 Years Basic Section Number Of Positions 3 Band B1 Band Name Assistant Manager Cost Code G090637 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 600000.0000 - 1000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Digital Delivery Practice SBU Xtrakto.AI Country India City Noida Center Noida - Centre 59 Skills Skill DATA SCIENCE - AI COMPUTRE VISION NLP Minimum Qualification B.TECH/B.E MCA MSC Certification No data available Job Description Job Responsibilities: Design, develop and implement solutions for a wide range of NLP use cases involving classification, extraction and search on unstructured text data Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP technique(s) based on business needs and available data Performing data exploration and innovative feature engineering Training and tuning a variety of NLP models / solutions which include regular expressions, traditional NLP models as well as SOTA transformer based models Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB Collaborate with ML engineering team to deploy NLP solutions in production - both on premise as well as cloud deployment Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions Open to working across different domains – Insurance, Healthcare and Financial Services etc. Required Skills: Experience (including graduate school) on training machine learning models, applying and developing text mining and NLP techniques Exposure to OCR and computer vision Experience in extracting content from documents is preferred Experience (including graduate school) with Natural Language Processing techniques is required Hands on experience with Natural Language Processing tools such as Stanford CORE-NLP, NLTK, spaCy, Gensim, Textblob etc. Experience/ Familiarity with document clustering in supervised un un-supervised scenarios Expertise in at least two of the state of the art techniques in NLP like BERT, GPT, XL Net etc. Applied experience of machine learning algorithms using Python Organized, self-motivated, disciplined and detail oriented Production level coding experience in Python is required Ability to read recent ML research papers and adapt those models to solve real-world problems Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano Experience with optimization on GPUs (a plus) Hands on experience with using cloud technologies on AWS/ Microsoft Azure is preferred Workflow Workflow Type Digital Solution Center

● Minimum of (3+) years of experience in AI-based application development. ● Fine-tune pre-existing models to improve performance and accuracy. ● Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI ● Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). ● Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. ● Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). ● Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. ● Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. ● Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. ● Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. ● Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. ● Proficiency in Python with the ability to get hands-on with coding at a deep level. ● Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. ● Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) ● Enthusiasm for continuous learning and professional developement in AI and leated technologies. ● Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. ● Knowledge of cloud services like AWS, Google Cloud, or Azure. ● Proficiency with version control systems, especially Git. ● Familiarity with data pre-processing techniques and pipeline development for Al model training. ● Experience with deploying models using Docker, Kubernetes ● Experience with AWS Bedrock, and Sagemaker is a plus ● Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Lowe's India: Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About the Team Intelligent Automation and Re-Engineering is the domain for Fortune 50 Retail organization. Below mentioned are some of the projects that we are currently working on Intelligent automation solutions AI based projects to support cognitive automation leveraging Vision and NLP Open source RPA platform We work on solutioning core business problems by leveraging cutting edge technology. Job Summary: To build optimized solutions for the business problems utilizing AI/ML stack To be proactive and think out of the box on solution designs and discussions. To be agile to switch projects and technologies as required. Should support the team technically and operational way. To be highly disciplined in documenting and following the process framework. Roles & Responsibilities: Core Responsibilities: Building solutions to business and stakeholder problem statements by leveraging OCR and NLP Accountability of the solutions. To provide technical support as required. Years of Experience: 2 to 4 years of experience in Development and support activities Education Qualification & Certifications (optional) Required Minimum Qualifications : . B.Tech/B.E/B.Sc Skill Set Required Primary Skills (must have) Deep Learning Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) Experience in developing and optimizing neural networks for OCR tasks. Expereince with building pipelines with ML flow Optical Character Recognition (OCR) Strong understanding of OCR technologies and algorithms. Experience in building and deploying enterprise-level OCR solutions. Natural Language Processing (NLP) Knowledge of NLP techniques and libraries (e.g., NLTK, SpaCy, Transformers). Ability to apply NLP methods for text analysis and data extraction. Engineering Experience in developing services. Proficiency in fastapi framework Docker, Containers Secondary Skills (desired) K8S Documentation

Roles and Responsibilities: As a, Data scientist / Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Engage with clients to understand current and future business goals and translate business problems into analytical frameworks Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs Create repeatable, interpretable and scalable models Effectively communicate the analytics approach and insights to a larger business audience Collaborate with team members, peers and leadership at Tredence and client companies Qualification: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 3+ years of experience in data science, building hands-on ML models Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. Advanced SQL skills with SQL Server and Spark experience. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred Experience with cloud platforms such as Azure, AWS is preferred but not require

Experience: 5 to 10 Years Must Have Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP Experience in CDP implementation and marketing analytics Experience in Python, SQL and AI/ML Frameworks Experience in Azure Data Factory, Databricks, Synapse, Snowflake Experience deploying GenAI applications 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. Hands-on experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP (Experience in any one tool is mandatory). Exposure to MLOps practices and model monitoring pipelines. 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. About The Role We are excited to welcome a highly skilled CDP & Marketing Analytics Specialist to join our dynamic digital transformation team. The ideal candidate will possess hands-on experience with Customer Data Platforms (CDPs) and exhibit a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will play a pivotal role in driving data-driven decision-making and enabling 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). Skills: marketing funnels,retention strategies,hightouch,mlops,azure data factory,spacy,sql,treasure data,salesforce cdp,platforms,marketing analytics,mparticle,nltk,cdp,transformers,analytics,segment,simon data,mlops practices,ai/ml frameworks,campaign attribution models,amperity,snowflake,genai applications,azure,databricks,ml,customer data,nlp techniques,python,synapse

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Experience: 4- 12 years Location: Hyderabad (5 Days work from office) Working Days: Sunday to Thursday Timings: 10AM to 6PM Note: Please apply if you have minimum 4 years of experience as this is a mid-senior level position Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support Evaluate and improve the performance of LLMs in real-world scenarios NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization Work with large datasets to train and validate NLP models Collaborate with cross-functional teams to identify and address language-based challenges Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality Stay updated on the latest advancements in automatic speech recognition (ASR) Performance Optimization: Enhance AI model efficiency for scalability and real-time processing Address biases, improve accuracy, and ensure robustness in all models Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies Experiment with emerging techniques and integrate them into company solutions Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems Collaborate with product managers, software engineers, and other stakeholders Requirements Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks) Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face) Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously

This role is for one of Weekday's clients Salary range: Rs 500000 - Rs 800000 (ie INR 5-8 LPA) Min Experience: 4 years Location: Bengaluru, Pune JobType: full-time Requirements About the Role: We are looking for a highly motivated and skilled Python FullStack Developer to join our dynamic team. The ideal candidate will have a strong foundation in Python programming and full-stack web development, with a focus on data-heavy applications and the integration of Natural Language Processing (NLP) techniques. Experience with AWS , Pandas , NumPy , and a solid understanding of scalable architectures is essential. In this role, you will work closely with data scientists, product managers, and DevOps engineers to build, scale, and maintain web-based products and data-driven applications. You will contribute to both frontend and backend development while working on innovative features involving text analytics and intelligent automation. Key Responsibilities: Design, develop, and maintain full-stack applications using Python and modern web technologies. Develop robust, scalable APIs and backend services to support dynamic frontend interfaces. Work on integrating Natural Language Processing models into applications for features such as text classification, sentiment analysis, and language generation. Handle large-scale data manipulation and transformation using Pandas and NumPy. Collaborate with data science teams to ensure smooth deployment and scalability of machine learning models. Build responsive, intuitive front-end interfaces using modern JavaScript frameworks (e.g., React, Vue.js, or similar). Optimize application performance, implement caching mechanisms, and manage data flow between frontend and backend services. Deploy and manage applications in cloud environments (AWS) including EC2, Lambda, S3, and API Gateway. Maintain and document code following best practices for testing, version control, and continuous integration. Participate in code reviews, architectural discussions, and contribute to the overall improvement of the codebase and development process. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 4 years of experience in full-stack development, with a strong focus on Python. Proficiency in Pandas, NumPy, and handling structured/unstructured data. Strong experience in developing RESTful APIs and backend services using Flask, FastAPI, or Django. Hands-on experience with Natural Language Processing (NLP) tools and libraries such as NLTK, spaCy, or Hugging Face Transformers. Proficiency in frontend technologies such as HTML5, CSS3, JavaScript, and experience with modern frameworks (e.g., React or Angular). Solid experience working with cloud platforms, particularly AWS (EC2, Lambda, S3, RDS, CloudWatch). Familiarity with Git, CI/CD pipelines, Docker, and microservices architecture. Ability to write clean, modular, and maintainable code with strong documentation and testing practices. Strong problem-solving skills and ability to work in an agile, collaborative environment. Preferred Qualifications: Experience with asynchronous programming using asyncio. Familiarity with container orchestration tools like Kubernetes. Exposure to DevOps practices and automation tools.

This role is for one of Weekday's clients Salary range: Rs 500000 - Rs 800000 (ie INR 5-8 LPA) Min Experience: 4 years Location: Bengaluru, Pune JobType: full-time Requirements About the Role: We are looking for a highly motivated and skilled Python FullStack Developer to join our dynamic team. The ideal candidate will have a strong foundation in Python programming and full-stack web development, with a focus on data-heavy applications and the integration of Natural Language Processing (NLP) techniques. Experience with AWS , Pandas , NumPy , and a solid understanding of scalable architectures is essential. In this role, you will work closely with data scientists, product managers, and DevOps engineers to build, scale, and maintain web-based products and data-driven applications. You will contribute to both frontend and backend development while working on innovative features involving text analytics and intelligent automation. Key Responsibilities: Design, develop, and maintain full-stack applications using Python and modern web technologies. Develop robust, scalable APIs and backend services to support dynamic frontend interfaces. Work on integrating Natural Language Processing models into applications for features such as text classification, sentiment analysis, and language generation. Handle large-scale data manipulation and transformation using Pandas and NumPy. Collaborate with data science teams to ensure smooth deployment and scalability of machine learning models. Build responsive, intuitive front-end interfaces using modern JavaScript frameworks (e.g., React, Vue.js, or similar). Optimize application performance, implement caching mechanisms, and manage data flow between frontend and backend services. Deploy and manage applications in cloud environments (AWS) including EC2, Lambda, S3, and API Gateway. Maintain and document code following best practices for testing, version control, and continuous integration. Participate in code reviews, architectural discussions, and contribute to the overall improvement of the codebase and development process. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 4 years of experience in full-stack development, with a strong focus on Python. Proficiency in Pandas, NumPy, and handling structured/unstructured data. Strong experience in developing RESTful APIs and backend services using Flask, FastAPI, or Django. Hands-on experience with Natural Language Processing (NLP) tools and libraries such as NLTK, spaCy, or Hugging Face Transformers. Proficiency in frontend technologies such as HTML5, CSS3, JavaScript, and experience with modern frameworks (e.g., React or Angular). Solid experience working with cloud platforms, particularly AWS (EC2, Lambda, S3, RDS, CloudWatch). Familiarity with Git, CI/CD pipelines, Docker, and microservices architecture. Ability to write clean, modular, and maintainable code with strong documentation and testing practices. Strong problem-solving skills and ability to work in an agile, collaborative environment. Preferred Qualifications: Experience with asynchronous programming using asyncio. Familiarity with container orchestration tools like Kubernetes. Exposure to DevOps practices and automation tools.

Experience : 3-4 years JOB DESCRIPTION : ● Should have good command in the Python language. ● Candidates must have knowledge of one of Python frameworks such as Django/Flask and microservices. ● Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. ● Proficiency in object-oriented design, data structures, algorithm design and problem solving. ● Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. ● Well-versed with Prompt Engineering. ● Should have knowledge of Agent Development using any of the tech, e.g., Langchain, AutoGen, CrewAI, etc. ● Knowledge of Computer Vision, OC ● R, etc. ● Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. ● Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc ● Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc ● Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc ● Stay updated with the latest developments in AI, machine learning, and related technologies. ● Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. Job Types: Full-time, Permanent Pay: ₹666,079.95 - ₹1,001,000.33 per year Benefits: Flexible schedule Paid sick time Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Haryana, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): We are looking for immediate joiner or who can join within 15 days Experience: Python: 3 years (Preferred) Work Location: In person Application Deadline: 06/07/2025 Expected Start Date: 24/06/2025

TECHNICAL ARCHITECT Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management. Experience Required Technical Architect with 7 - 12 years of experience Salary 22-25 LPA Job Types: Full-time, Permanent Pay: ₹2,200,000.00 - ₹2,500,000.00 per year Location Type: In-person Work Location: In person

Job Title: Data Scientist Position Summary As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems Key Responsibilities: Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments. Required Skills and Qualifications: Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills. Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. Location: Hyderabad, Mumbai, Bangalore and Chennai ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

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 22,700 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: 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development. Proven track record and experience with with GenAI technologies Open source LLMs like Llama, Gemma, Mixtral etco Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etco Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) Understanding of SLMs such as Phi3, BERT and Transformer architectureo Vector databases like Pincone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Expertise with the following scripting languages:o 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, Swagger/Postman tools Prior experience working on Mobility or Healthcare domain will be a plus Mandatory Skills: · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. · Experience in cloud services like Azure, GCP and AWS· Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Additional Information: A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1 institutions. If Bachelors, Machine Learning or Computer Science specialization only Qualifications BE,BTech,MS, MTech or MCA Additional Information 7 to 10 years

Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management.