77 Bert Jobs - Page 3

SUMMARY Job Opening: Gen AI Specialist Location: Nationwide Experience: 9-12 years Notice Period: Immediate to 90 days Job Description We are in search of a Gen AI Specialist with 9 12 years of overall experience and a minimum of 5+ years of relevant experience in Gen AI. The ideal candidate should possess a solid background in machine learning, deep learning, and computer science, with expertise in generative AI models and techniques such as GANs, VAEs, and Transformers. Proficiency in natural language processing (NLP) and computer vision is highly desirable. The candidate should be adept at working both independently and as part of a team, with proficiency in advanced programming languages such as Python and AI-centric libraries like TensorFlow, PyTorch, and Keras. Additionally, experience in data management, including data pre-processing, augmentation, and generation of synthetic data, as well as developing and deploying AI models in production environments, is essential. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying, managing, and scaling AI solutions is also crucial. The candidate should be capable of introducing new ideas and innovative solutions to our clients. Requirements Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Demonstrated experience in Gen AI, LSTM, BERT, GPT, Machine Learning, and Deep Learning. Proficiency in Python and AI-centric libraries like TensorFlow, PyTorch, and Keras. Familiarity with cloud services (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Model Development & Training: Develop and train machine learning models, specifically in the domain of computer vision (e.g., object detection, image classification, segmentation). Optimize model performance by tuning hyperparameters and improving training pipelines. Data Preparation & Processing: Collect, clean, and preprocess image and video datasets for training models. Implement data augmentation and synthetic data generation techniques. Model Evaluation & Analysis: Evaluate model performance using appropriate metrics (e.g., precision, recall, F1-score). Perform error analysis to identify model weaknesses and suggest improvements. Model Deployment & Integration: Assist in deploying trained models into production environments. Work with software engineers to integrate computer vision models into applications or services. Research & Innovation: Stay updated on the latest trends and advancements in computer vision and machine learning. Experiment with state-of-the-art techniques such as transfer learning, self-supervised learning, and GANs. Role & responsibilities Preferred candidate profile Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Familiarity with computer vision libraries (e.g., OpenCV, scikit-image). Understanding of machine learning concepts, including supervised and unsupervised learning. Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).

Role description We are seeking an experienced Gen AI and LLM Developer to design, develop, and deploy generative AI models and large language models (LLMs) for advanced natural language processing (NLP) tasks. The ideal candidate will have 6-9 years of experience with LLM architectures (e.g., GPT, BERT), deep learning frameworks (PyTorch, TensorFlow), and cloud platforms (AWS, GCP, Azure). Responsibilities include training and fine-tuning models, optimizing for performance, collaborating with cross-functional teams, and staying updated on the latest AI trends. Strong technical skills in Python, NLP techniques, model optimization, and distributed training are essential.Experience designing scalable system with Generative AI" and "Exposure to full stack development on .net or Java based platform

We are seeking an experienced and innovative AI Specialist to join our dynamic team. The ideal candidate will possess deep expertise in artificial intelligence, machine learning, and neural networks, with a proven track record of designing, developing, and deploying AI solutions. The candidate should be adept at analyzing large datasets, developing optimized algorithms, and integrating AI models into production environments. This role offers the opportunity to contribute to cutting-edge AI applications that solve real-world problems and drive business value Key Responsibilities: AI System Design & Development: Design, develop, and implement AI systems and applications, including machine learning models, neural networks, and natural language processing (NLP) algorithms. Create and optimize AI algorithms for tasks such as image recognition, speech processing, and predictive analytics. Data Analysis & Feature Engineering: Analyze large datasets to identify trends, patterns, and actionable insights. Perform data preprocessing, data wrangling, and feature engineering to enhance model performance. Model Training & Optimization: Train and fine-tune machine learning models using labeled and unlabeled data to improve model accuracy and efficiency. Continuously monitor and optimize models for better performance. AI Model Integration: Deploy machine learning models into production environments, ensuring scalability and reliability. Integrate AI technologies with existing software and business processes using REST APIs. Utilize Docker and Kubernetes to containerize and manage AI models. Research & Innovation: Stay up to date with the latest advancements in AI and machine learning technologies. Explore and experiment with new AI applications, tools, and methodologies to enhance system capabilities. Collaboration & Agile Development: Work closely with cross-functional teams in an Agile environment to develop AI-driven solutions that meet business requirements. Communicate findings and results to stakeholders, ensuring AI solutions align with business goals. Primary Skills and Qualifications: AI and Machine Learning Expertise: Strong knowledge of supervised and unsupervised learning techniques, including classification, regression, clustering, and reinforcement learning. Hands-on experience developing and deploying machine learning models in production environments. Technical Proficiency: Programming Languages: Advanced proficiency in Python, with additional experience in R and SQL as a plus. ML Libraries/Frameworks: Expertise in TensorFlow, PyTorch, and scikit-learn. Cloud Platforms: Hands-on experience with AWS, Azure, or Google Cloud for model deployment and management. Model Deployment & Integration: Familiarity with REST APIs, Docker, and Kubernetes for seamless model integration. Secondary Skills and Preferred Qualifications: Natural Language Processing (NLP): Experience with NLP frameworks such as NLTK, spaCy, Hugging Face, and BERT. Agile Methodologies: Knowledge of Agile practices, with experience using tools like JIRA for project management. Mathematics and Statistics: Strong foundation in probability, statistics, and linear algebra to support model development and evaluation. Data Handling & Preprocessing: Proficiency in data cleaning, transformation, and feature engineering to prepare data for modeling.

- Working knowledge of deep learning, statistics. - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM - Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping. - Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data. - NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT). - Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation. - Great programming skills with expertise in Python development standards. - Familiarity with code production standards and version control systems - Excellent communication skills

- Working knowledge of deep learning, statistics. - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM - Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping. - Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data. - NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT). - Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation. - Great programming skills with expertise in Python development standards. - Familiarity with code production standards and version control systems - Excellent communication skills

Hexaware is conducting Walkin Interview for Data Scientist(GENAI)/Lead Data Scientist (GENAI)/Data Scientist Architect(GENAI) _Chennai Location 29th March 2025 (saturday). We urgently looking for immediate joiners/early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com MUST HAVE: 1.5+ years experience-Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. 4.5+years -in machine learning, deep Learning architecture, NLP, and OCR. Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Python Fast API experience, SDA based implementations for all the APIs Architect should be hand-on to review the code developed by the developers Should be able to take and work on spike stories assigned to him/her.

We are seeking a skilled Data Analyst with 2 to 5 years of experience in data analytics, SQL, Python, Excel VBA , and LLM & Generative AI development . The ideal candidate should have a strong engineering mindset and be proficient in natural language processing (NLP), machine learning (ML) algorithms , and automation tools. Candidates with a bachelors degree in engineering are preferred. Key Responsibilities Analyze and process large datasets to extract actionable insights. Develop and fine-tune LLM (Large Language Models) for business applications. Develop and deploy machine learning models for predictive analytics and automation. Work with SQL databases for data extraction, transformation, and analysis (Azure Synapse). Use Python and Excel VBA for data analysis, automation, and model development. Design and develop dashboards and reports to track key performance indicators. Required Skills & Qualifications Experience: 2 to 5 years in data science, analytics, or AI/ML development. Technical Skills: Strong proficiency in SQL for data manipulation and querying in Azure. Python programming , with expertise in libraries like Pandas, NumPy, Scikit-Learn, Deep learning concepts and NLTK/SpaCy for NLP. Experience with LLMs and Gen AI (e.g., OpenAI GPT, LLaMA, BERT or similar). Hands-on knowledge of NLP algorithms , such as Transformer models, Text Vectorization (TF-IDF, Word2Vec), and Sequence Models (LSTMs, GRUs). Advanced Excel & VBA for automation and reporting. Education: Bachelors degree in engineering (preferred) or related fields. Soft Skills: Strong problem-solving, analytical thinking, and communication skills. Preferred Skills (Nice to Have) Experience with Power BI for data visualization. Exposure to cloud data platforms (Azure) Knowledge of statistical analysis and machine learning concepts.

PLEASE READ THE JD BEFORE APPLYING TO THIS POSITION. All applications will be considered. CodeGrads is a recently launched EdTech startup seeking a passionate GenAI & ML Trainer to join our team. We offer university-affiliated certification and Diploma courses to upskill in AIML and GenAI for beginners and professionals. Kindly apply for this post if you are interested in a Trainer's position. Job Type : Full time, Permanent Designation : Data Scientist Role : GenAI & AIML Trainer *This is not a AIML Engineer's position. Key Responsibilities: Collate, develop and enhance training materials, including presentations, projects, assignments, and assessments. Build the curriculum of each module and plan live training sessions. Deliver live training sessions on Data Analytics, ML, DL, NLP, GenAI, and AI tools/libraries . Collaborate with the digital media team to create AIML video content for Youtube and self-paced learning courses. Stay updated on emerging AIML technologies and integrate them into the curriculum. Evaluate learners' progress through assessments, quizzes, and project reviews. Provide one-on-one mentorship to help students overcome learning challenges. Conduct webinars, workshops, and promotional activities to engage potential learners. Key Requirements: Excellent Communication Skills is paramount for this role(AIML Trainer). You'll be ideal if you can speak and interact fluently during online presentations. Certifications in GenAI , AIML, Data Science, or a related field. Experience in GenAI, AIML development and training. Proficiency in Python, GenAI & AIML frameworks (various Python libraries). Strong understanding of ML algorithms, deep learning, model optimization, and evaluation metrics, data visualization and analytics, Pandas etc. Practical experience in basic GenAI fields like RAG, LLMs, DataFrame Agents , Prompt Templates and Prompting techniques . Good Communication skills with the ability to simplify complex concepts. Passion for teaching and mentoring learners. If you're excited about shaping the future of AI education, we'd love to hear from you! Preferred candidate profile The ideal candidate should be well-spoken , fluent in English with good presentation skills and have expertise in GenAI, Machine Learning, Deep Learning, Data Analytics , along with a strong base in these concepts in order to be able to pass on the teachings to students and mentor them as their guide. Perks and benefits Work From Home Referral Bonus Prformance Bonus Interview Format: Round 1: Telephonic 10-15m (Phone) Round 2: Technical Screening 30-45m (Google Meet) Round 3: HR 15-30m (Google Meet)

About Company: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. Were in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations! What You Can Expect from Us: Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great! Position Overview: We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5, RoBERTa , and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy , and NLTK , with a solid understanding of model evaluation metrics. Roles and Responsibilities: Model Expertise : Work with transformer models such as GPT , BERT , T5 , RoBERTa , and others for a variety of NLP tasks, including text generation, summarization, classification, and translation. Model Fine-Tuning : Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization, text generation, and question answering. Prompt Engineering : Craft clear, concise, and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. Iterate on prompts to optimize model performance. Instruction-Based Prompting : Implement instruction-based prompting to guide the model toward achieving specific goals, ensuring that the outputs are contextually accurate and aligned with task objectives. Zero-shot, Few-shot, Many-shot Learning : Utilize zero-shot , few-shot , and many-shot learning techniques to improve model performance without the need for full retraining. Chain-of-Thought (CoT) Prompting : Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks, ensuring that the outputs are logically structured and provide step-by-step explanations. Model Evaluation : Use evaluation metrics such as BLEU , ROUGE , and other relevant metrics to assess and improve the performance of models for various NLP tasks. Model Deployment : Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications. Bias Awareness : Be aware of and mitigate issues related to bias , hallucinations , and knowledge cutoffs in LLMs, ensuring high-quality and reliable outputs. Collaboration : Collaborate with cross-functional teams including engineers, data scientists, and product managers to deliver efficient and scalable NLP solutions. Must Have Skill Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks , with a focus on text generation , summarization , question answering , classification , and similar tasks. Expertise in transformer models like GPT (Generative Pre-trained Transformer) , BERT (Bidirectional Encoder Representations from Transformers) , T5 (Text-to-Text Transfer Transformer) , RoBERTa , and similar models. Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation , summarization , question answering , classification , and translation . Familiarity with concepts like attention mechanisms , context windows , tokenization , and embedding layers . Awareness of biases , hallucinations , and knowledge cutoffs that can affect LLM performance and output quality. Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. Experience in instruction-based prompting Use of zero-shot , few-shot , and many-shot learning techniques for maximizing model performance without retraining. Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Proficiency in Python and experience with NLP libraries (e.g., Hugging Face, SpaCy, NLTK). Experience with transformer-based models (e.g., GPT, BERT, T5) for text generation tasks. Experience in training, fine-tuning, and deploying machine learning models in an NLP context. Understanding of model evaluation metrics (e.g., BLEU, ROUGE) Qualification: BE/B.Tech or Equivalent degree in Computer Science or related field. Excellent communication skills in English, both verbal and written Location: Bangalore Website : https://www.nomiso.io/

Key Responsibilities: Manage product development using Agile methodologies, specifically Kanban and JIRA, to ensure timely delivery of high-quality products that utilize Gen AI capabilities. Lead the product development lifecycle for Gen AI-based projects, focusing on foundational models such as GPT, BERT, and other transformer architectures to drive innovation and enhance user experience. Collaborate with cross-functional teams to define product vision, strategy, and roadmap, ensuring alignment with business goals and user needs in the context of Gen AI applications. Gather and prioritize product and customer requirements, translating them into actionable user stories and acceptance criteria which clearly aligns with the business requirments. Facilitate regular sprint planning, reviews, and retrospectives to drive continuous improvement within the team leading to productive deliveries to business stakeholders on time. Act as the primary point of contact for stakeholders, providing updates on product progress and addressing any concerns related to Gen AI integration and performance. Good to have skills: Monitor product performance and user feedback to iterate and enhance product features, ensuring that Gen AI applications meet user expectations and deliver value. Conduct market research and competitive analysis to identify opportunities for leveraging Gen AI technologies in various initiatives across business units. Stay updated on industry trends and emerging technologies in Gen AI, including advancements in foundational models, to inform product strategy and maintain a competitive edge. Analytical mindset with strong problem-solving skills and attention to detail, particularly in evaluating AI model performance and user engagement. Experience in conducting user research and usability testing to inform product decisions, especially in the context of AI applications. Ability to prioritize tasks and manage multiple projects simultaneously in a fast-paced environment, adapting to the evolving landscape of Gen AI. Qualifications: Bachelors degree in Business, Computer Science, or a related field; MBA is a plus. 5+ years of experience in product management, with a focus on Gen AI-based projects and applications. Proven track record of successfully managing product development from concept to launch, particularly in AI-driven products. Strong understanding of foundational models and their applications in real-world scenarios, including natural language processing, image recognition, and predictive analytics. Excellent communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders. Familiarity with data analytics tools to measure product performance and user engagement, with a focus on AI-driven insights. Passion for technology and innovation, with a keen interest in Gen AI advancements and their potential to transform industries. Product delivery with some Crawler Experience, look candidates from Ecommerce companies NP -30 Days

AI/ML Developer Req number: R4983 Employment type: Full time Worksite flexibility: Onsite Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated AI/ML Developer ready to take us to the next level! If you have strong expertise in back-end development with Python/Django and negotiation skills and are looking for your next career move, apply now. Job Description We are looking for an AI/ML Developer to Develop and maintain back-end systems using Python/Django. This position will be 6 months Contract and Hybrid in Pune . What You’ll Do Develop and maintain back-end systems using Python/Django. Work extensively with LLMs and transformer models, including BERT. Design and implement search or recommendation systems, data classification models, or Learning to Rank (LTR) models. Build cutting-edge AI/ML applications from conception to deployment. Maintain exceptional attention to detail and demonstrate a relentless willingness to learn and adapt to new technologies. What You'll Need Required: 2+ years of experience in AI/ML engineering or a related field. Proven expertise in back-end development with Python/Django. Extensive experience with LLMs and transformer models. Strong understanding of search or recommendation systems, data classification, or LTR models. A commitment to continuous learning and a proactive approach to problem-solving. Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Role : Principal Consultant - Gen AI High level Skill set : Gen AI, Python, SQL, LLMs i.e. GPT, NLP, Transformers Exp : 12+ years of experience Responsibilities Develop and maintain the backend infrastructure for generative AI platform, ensuring optimal performance, scalability, and reliability. Design and implement workflow orchestration solutions using Python, and Terraform to streamline and automate processes within the AI program. Collaborate with cross-functional teams to gather requirements, develop technical specifications, and deliver high-quality code in an Agile environment. Utilize DevOps best practices to continuously integrate, test, and deploy code updates, ensuring minimal downtime and maximum efficiency, using approved strategic tooling (Jira, Clarity, Rally) in order to manage and prioritize backlog, requirements, and reporting. Leverage Azure platform experience to build and manage cloud-based infrastructure, optimizing for cost, performance, and security, using products such as Azure DevOps, Azure App Service and Azure Functions. Stay up-to-date with the latest industry trends and advancements in AI, analytics, and backend system engineering to ensure client remains competitive and innovative. Participate in code reviews and provide constructive feedback to peers, fostering a culture of continuous improvement and knowledge sharing. Troubleshoot and resolve complex technical issues, working closely with other team members and stakeholders to ensure timely resolution and minimal impact on the AI program. Develop and maintain comprehensive documentation for the backend systems, including architecture diagrams, API specifications, and operational guides. Actively contribute to the ongoing improvement of regulatory compliance by ensuring all backend systems adhere to relevant data protection and privacy regulations, as well as internal policies and procedures. Technical Knowledge • Proficient in Python • Experience with popular Python web frameworks such as Flask or FastAPI. Skill Sets : Experience in Machine Learning, Deep Learning Experience/knowledge in using Generative AI /OpenAI LLMs i.e. GPT, NLP, Transformers Exposure to OpenAI services in Azure will be preferred Experience working in a cloud environment, such as Microsoft Azure. Proficient using version control systems such as Git. Knowledge of relational databases, such as SQL Server. Familiarity with JavaScript would be beneficial. Ability to write unit tests and conduct Test-Driven Development (TDD). Experience working with CI/CD pipelines for automated build, testing and deployment. Experience working in an agile environment. Ability to write clear and comprehensive documentation for code and APIs.

AI/ML Developer Work from office hybrid mode Pune Long-term contract Deep expertise in back-end development (Python/Django) Extensive experience working with LLMs and transformer models (BERT) Expertise in search or recommendation systems, data classification, or LTR models Expertise in building AI/ML applications Exceptional attention to detail and a relentless willingness to learn

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Job Overview As a Senior Test and Validation Engineer for TE Connectivity you will focus on test system design and verification-validation testing of high-speed products in cable assemblies targeting high speed communications and connectivity within datacenters and wireless infrastructure. You will be expected to independently work on projects in the areas of validation for product, test system design including selection of hardware and programming. You will also work collaboratively within a broader cross functional team of electrical, mechanical, manufacturing, & operations to execute leading edge products designs. You will be the responsible for the electrical validation of a product/platform beginning with the initial analysis and leading into production verification testing and manufacturing. You will tackle challenging design problems and utilize cutting edge hardware and software tools to guide complex designs toward success. Responsibilities: Knowledge of high-speed test systems and validation activities through product development cycles Establishing testing requirements for new products based on electrical and software specifications Development of high-speed cables test systems/fixtures from conception to manufacturing deployment Test system architecture, system diagramming, test software, hardware build, and validation into manufacturing of product Creating actionable recommendations based upon design reviews and product specifications Making data driven decisions about the product functionality and areas for improvement. Required Skills/Experience: Bachelors degree in Electrical Engineering, Masters degree preferred 5+ years of experience with high-speed test equipment ( Digital Sampling Oscilloscope, Vector Network Analyzer, Bit Error Rate Tester, TDR, Pattern Generators, Power Supplies, etc .) Experience with Python based automation testing. Strong analytical capabilities to interpret test/lab data to identify issues and provide solutions to fix identified problem. Excellent verbal and written communication skills Ability to work in a global environment able to accommodate varying time zones, fluent in English (verbal/written), able to collaborate with individuals across geographies Individual must be highly motivated, a quick learner, and able to work independently Nice to have Skills/Experience: Familiarity with embedded systems and ANSI C Familiarity with signal conditioning techniques (equalization, amplification, FIRs, CTLEs) Familiarity with PAM4/8 and other higher order modulation techniques

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting Global Network Practice :- Data AI - CMT Career Level :Consultant Level 9 Job Posting Title :SC Global Network - AI - CMT - Consultant Data Science LLM Job Profile: IndFunc AI Decision Science Consultant Job location :- Bangalore /Gurgaon Accenture Strategy Consulting Global Network - Data AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms Media practice within Strategy Consulting: Comms Media (CM) is one of the Industry Practices within Accenture's SC Global Network team. It focuses in serving clients across specific Industries Communications, Media Entertainment. Communications Focuses primarily on industries related with telecommunications and information communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers Media Entertainment Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms Media practice works to develop value growth strategies for its clients and infuse AI GenAI to help deliver top their business imperatives i.e., revenue growth cost reduction. From multi-year Data AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Responsibilities/Authorities LLM experienced data science consultant is responsible to help the clients with designing delivering AI solutions. He/she should be strong in AI fundamentals and should have good hands-on experience working with any one of the following areas : Generative AI Techniques and Tools Understanding basics of different LLM algorithms and their applications (Must Have) LLM Model Fine Tuning Techniques and deployment (Must Have) Prompt Designing/Engineering (Must Have) GANs (Generative Adversarial Networks):Understanding and implementation of GANs for image and text generation. VAEs (Variational Autoencoders):Experience with VAEs for generative modelling. Reinforcement Learning for Generation:Techniques like RLHF Natural Language Processing (NLP) Tools and Libraries Transformers:Experience with transformer-based models like BERT, GPT, T5, etc. spaCy :For advanced NLP tasks such as tokenization, named entity recognition, and dependency parsing. NLTK:Basic NLP tasks and text preprocessing. Gensim /LDA :For topic modelling and word embedding techniques. Machine Learning and Deep Learning Frameworks TensorFlow:Experience with model building, training, and deployment PyTorch :Proficiency in developing and fine-tuning deep learning models Keras :Knowledge of using Keras as a high-level API for TensorFlow Scikit-learn:For traditional machine learning tasks and preprocessing Cloud Platforms and Services MS Azure:Knowledge of Azure OpenAI, AI Studio etc. AWS (Amazon Web Services):Knowledge of S3, EC2, SageMaker, Lambda, etc. Google Cloud Platform (GCP):Knowledge of Vertex AI Platform, BigQuery , Cloud Storage, etc. Other Key Responsibilities : Ability to work with large data (Structured Unstructured) and present conclusions to key stakeholders Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data AI or process solutions and design detail level to-be state Partner with clients to understand end clients' business goals, marketing objectives , and competitive constraints. Storytelling Crunch the data numbers to craft a story to be presented to senior client stakeholders. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term sustainable value to the client. Qualifications JOB REQUIREMENTS : Overall 4 + years of experience in Data Science Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school , is preferred Demonstrated experience in solving real-world data problems through Data AI (Specially Gen AI) Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Experience using digital statistical modeling software (one or more) Python , R, PySpark , SQL, BigQuery , Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members

Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. Curious to know what its like to work at Evalueserve? About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve: Communicate with internal and external clients to understand business problems, participate in brainstorming sessions, and explore and propose suitable solutions Collect data, optimize data models, and evaluate results Improve existing model developments, wherever applicable Work with solution architects, back-end and front-end teams, etc., to successfully implement assigned use cases Ensure output quality and adhere to project timelines Support the development of AI-based solutions and platforms for various business partners across the globe Graduate / postgraduate in computer science, mathematics, engineering, or a related field More than three years of hands-on experience in programming languages such as Python and C++ Academic background in machine learning, deep learning, and natural language processing Experience in open-source ML frameworks such as TensorFlow, Keras, and PyTorch Experience in GenAI, knowledge graphs, ranking algorithms, and / or recommendation engines will be advantageous Experience in computer vision / image recognition will be advantageous What we're looking for: Knowledge and experience of building solutions based on large language models, such as GPT, Vicuna, LlaMa-2, and falcon. Experience in LLM fine-tuning will be advantageous In-depth knowledge of vector databases, such as Weaviate, Milvus, and Pinecone Showcase a flexible attitude to new technology and methodologies with a change in clients and business questions Extensive knowledge on NLU, NLP, and common NLP algorithms such as BERT, word2vec, FastText, and ELMO Be familiar with general software design concepts, product development lifecycles, and machine learning model deployments Knowledge of data structures and No-SQL databases Ability to stay updated and quickly grasp new concepts Passionate about learning and growing in the industry Entrepreneurial mindset, coupled with a can do attitude Good verbal and written communication and presentation skills Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

We are seeking a talented and experienced Machine Learning Engineer with a strong focus on Natural Language Processing (NLP). You will play a key role in developing, optimizing, and deploying state-of-the-art NLP solutions. You will collaborate with cross-functional teams to design scalable AI-driven applications that leverage the latest advancements in machine learning. Key Responsibilities: Design, develop, and implement NLP models using modern techniques like BERT, GPT, and other LLMs. Fine-tune pre-trained models for specific NLP applications, text summarization, and question-answering systems. Research and experiment with cutting-edge ML techniques and optimize model performance. Collaborate with product managers and software engineers to create end-to-end solutions that scale in production. Evaluate and improve model accuracy, scalability, and performance using appropriate metrics. Stay updated on the latest trends in NLP and machine learning to implement best practices. Required Skills and Qualifications: 3-6 years of experience in machine learning with a focus on NLP Hands-on experience with BERT and other transformer models Proficiency in working with large language models (e.g., GPT, T5, etc.) Strong programming skills in Python, with experience in ML libraries like PyTorch, Hugging Face Deep understanding of tokenization, embeddings, sequence-to-sequence models, and attention mechanisms Experience with fine-tuning models for specific use cases Familiarity with data preprocessing techniques for NLP tasks Experience with ML Serving for deploying models at scale Strong problem-solving skills and ability to work in a fast-paced environment

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. BDC Post Silicon Engineering group has an opening for a Digital Bench characterization Engineer. This group develops Test solutions for Design verification of Highly integrated SOCs (System on Chip) designed by Qualcomm. We work with Design, System, Program Management, Yield, Reliability and Manufacturing teams to Test, support and commercialize Qualcomms products. As part of the Post Silicon Engineering group, you will be responsible for developing Test strategy & executing Bench characterization for leading edge LPDDR & PCDDR Subsystem components (DRAM, DRAM Controller, DRAM PHY, IOs, PLL/DLL, clocking architecture, Delay circuits, Power Distribution Network) and High-Speed IO interfaces (PCIe, USB2/3, Display Port, HDMI, MIPI-CSI/DSI, UFS & PLL). You will drive first Silicon debug, qualify semiconductor fabrication process, evaluate parametric performance of DDR & High-Speed IO IPs and perform failure analysis to root-cause a design problem. You with be working with IC design engineering, system engineering and Hardware applications engineering teams across the globe in a time critical environment. Education Requirements MTech, BTech or Equivalent in Electronics or Electrical Engineering with 1-3 years of related work experience Skills/Experience: Solid understanding of Electronics engineering fundamentals, DDR & High-Speed IO circuit analysis techniques and Semiconductor manufacturing process, Good understanding of Test and characterization methodology of DDR and High-Speed IO interfaces In-depth understanding of Mobile & PC DDR 2/3/4 protocol, timing diagrams, HSIO IPs PHY level understanding and Electrical parametric compliance specifications (eye diagram, differential signaling, jitter analysis, Receiver-Jitter-Tolerance, signal integrity, transmission line considerations, de-embedding). Hands-on experience using Bench instruments such as oscilloscopes, J-BERT, network / spectrum analyzers, signal generators and Logic analyzers is a must. Solid software skills for writing and debugging Test code using C, C# or Python. LabView knowledge is a plus. Using CAD software such as Mentor Graphics DA or Cadence Allegro is a plus. Ability to work effectively in a fast-paced environment with strong verbal and written communication skills. Keywords DDR, High-Speed IO, Electrical Spec compliance, Eye Diagram, Jitter, C, C#, Python, LabVIEW Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

We are hiring strategic Data Scientists to join our Data & AI Studio. Our expertise allows us to create a wide variety of end to end solutions for industries including finance, travel, media & entertainment, retail, health, among others. We democratize data and foster organizational changes towards a data-driven culture. Join us in discovering the real value of Data. Right now, we are looking for Senior Data Scientist to join our team at Globant! Location: Pune\ Indore\ Ahmedabad \ Hyderabad\Bangalore Experience Range: 5-10Years Responsibilities • Develop predictive models using supervised and unsupervised machine learning/deep learning • Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection • Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets • Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development Teams • A self-starter who can align the technology solution with a business goal Qualifications • Undergraduate or Graduate degree (MS or PhD) in Computer Science, Engineering, Mathematics or equivalent, specializing in machine learning or a related field • 3+ years experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning • Strong hands-on expertise in Python and open source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers, etc. • Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch • Experience in applying deep learning to NLP - Transformers, BERT • Computer vision modeling a plus • Experience with designing, building, and optimizing data and model training pipelines • Experience in SageMaker or Azure ML Studio a plus • Experience with cloud-based platform (Azure) for solution delivery • Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence,Git) and Test-Driven Development (TDD) You will get the chance to: Develop your career in our Studios. Each Studio represents deep pockets of expertise on the latest technologies and trends and delivers tailored solutions focused on specific challenges. Develop your career within an industry or multiple industries. Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work. Be part of an agile pod. Driven by a culture of self-regulated teamwork, each team -or POD- works directly with our customers with a full maturity path that evolves as they increase speed, quality and autonomy. What will help you succeed: Experience with Python is must have Experience with model deployment on AKS, API development, Flask, etc is required Well versed with Natural Language Processing techniques Business Skills Client Handling & Communication Problem-solving / critical thinking Systems Thinking Interest and passion for Technology Willingness to help teams become agile, high performing and foster a culture of team-work and sustainable

Job Description- Data Scientist Job Summary : As a Data Scientist, you'll design, develop, and deploy natural language processing models to drive business value. You'll collaborate with cross-functional teams to identify opportunities, collect and pre-process data, and implement scalable NLP solutions. Responsibilities : 1. Develop and fine-tune Transformer models (e.g., BERT, RoBERTa, XLNet) for NLP tasks (e.g., text classification, sentiment analysis, named entity recognition) 2. Collect, pre-process, and annotate datasets for NLP model training 3. Conduct research and stay up-to-date with advancements in Transformer architectures and NLP 4. Develop and fine-tune conversational AI models (e.g., intent recognition, sentiment analysis, dialogue management) Requirements : 3+ years of experience in NLP, machine learning, and data science Master's or Ph.D. in Computer Science/Data Science (Preferable) Experience with deep learning frameworks Clarity on fundamentals of NLP and ML algorithms Excellent problem-solving and communication skills What We Offer : Competitive salary and benefits package. Opportunities for professional growth and development. Collaborative and dynamic work environment.

Key Responsibilities: Lead the design, development, and deployment of AI/ML models, including deep learning, NLP, computer vision, and generative AI. Research and experiment with various AI models, including transformer-based architectures (GPT, BERT, T5), diffusion models, LLMs, and reinforcement learning models. Optimize and fine-tune models for performance, scalability, and cost-effectiveness. Integrate AI solutions into cloud-based platforms (AWS, Azure, GCP) and on-premise environments. Work with data engineers and MLOps teams to ensure seamless data pipelines and model deployment. Evaluate the latest AI advancements and recommend adoption strategies for cutting-edge models. Mentor and guide junior AI engineers, providing technical leadership and code reviews. Collaborate with cross-functional teams, including product managers, designers, and software engineers, to align AI solutions with business goals. Ensure AI models comply with ethical AI principles, security standards, and regulatory guidelines. Role & responsibilities Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. 7+ years of hands-on experience in AI/ML, including model training, fine-tuning, and deployment. Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, Keras. Experience working with transformer models (GPT, BERT, Llama), computer vision models (YOLO, CLIP), and generative models (Stable Diffusion, GANs). Proficiency in Python and AI/ML libraries (NumPy, Pandas, Scikit-learn, Hugging Face). Hands-on experience with MLOps tools such as MLflow, Kubeflow, or SageMaker. Strong knowledge of cloud services (AWS Sagemaker, Azure AI, Google Vertex AI) and model deployment strategies. Experience with vector databases (FAISS, Pinecone) and LLM orchestration frameworks (LangChain, LlamaIndex). Excellent problem-solving skills and the ability to troubleshoot AI model issues. Strong communication and leadership skills to guide teams and present AI solutions to stakeholders. Preferred candidate profile Perks and benefits

SUMMARY Job Opening: Gen AI Professional Location: Pan India Experience: 9-12 years Notice Period: Immediate to 90 days Job Description We are seeking a Gen AI Professional with 9 12 years of overall experience and a minimum of 5+ years of relevant experience in Gen AI. The ideal candidate should have a strong foundation in machine learning, deep learning, and computer science, along with expertise in generative AI models and techniques such as GANs, VAEs, and Transformers. Experience with natural language processing (NLP) and computer vision is a plus. The candidate should be able to work independently and as part of a team, with knowledge of advanced programming languages like Python and AI-centric libraries like TensorFlow, PyTorch, and Keras. Additionally, experience in data management, including data pre-processing, augmentation, and generation of synthetic data, as well as developing and deploying AI models in production environments, is required. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying, managing, and scaling AI solutions is also essential. The candidate should be able to bring new ideas and innovative solutions to our clients. Requirements Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Proven experience in Gen AI, LSTM, BERT, GPT, Machine Learning, and Deep Learning. Strong proficiency in Python and AI-centric libraries like TensorFlow, PyTorch, and Keras. Familiarity with cloud services (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.