2558 Deep Learning Jobs - Page 26

Role & responsibilities Work with a talented group of data scientists, software developers and product owners to identify possible applications for AI and machine learning. Understand Cvent's product lines, their business models and the data collected. Perform machine learning research on various types of data (numeric, text, audio, video, image). Deliver machine learning models in a state that can be picked up by a software development team and operationalized via Cvent's products. Thoroughly document your work as well as results, to the extent that another data scientist can replicate them. Progressively enhance your skills in machine learning, writing production-quality Python code, and communication. Preferred candidate profile A Bachelor's degree in a quantitative field (natural sciences, math, statistics, computer science). At least 3 years of experience working as a data scientist in industry. In-depth familiarity with the Linux operating system and command-line work. Conceptual and technical understanding of machine learning, including model training and evaluation. Experience with formal Python coding. Proficiency in machine learning packages in Python. Familiarity with Generative AI based system development. Experience with relational databases and query-writing in SQL. Knowledge of linear algebra and statistics. Skills in data exploration and interpretation. It will be excellent if you also have: A Master's or PhD degree in a quantitative field. Experience with Databricks and/or Snowflake platforms. Ability to write production-quality Python code with testing coverage. Experience working on a cloud platform (AWS/Azure/Google Cloud), especially machine learning R&D on a cloud platform. Knowledge of the software development lifecycle, including Git processes, code reviews, test-driven development and CI/CD. Experience with A/B testing. Skills in data visualization and dashboarding. Knowledge of how to interact with a REST API. Proven ability for proactive, independent work with some supervision. Strong verbal and written communication. If you are a good fit for the role, please apply! Your resume should be no more than two pages in length.

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Commerce,Bachelor Of Comp. Applications Service Line Cloud & Infrastructure Services Responsibilities Contribute to the development through coding, testing and bug fixing Help team members in the development process Work on POCs to explore new features, techniques and solution Provide timely status to the managers Technical and Professional : Experience on Python in script and application development Experience in Python ML packages, Flask Experience on frameworks like TensorFlow, PyTorch Understanding of data structures, data modelling Database awareness – SQL, NOSQL, Vector Experience in integrating with Java based applications as well as front end application s Object oriented and functional programming Git, CICD pipeline Preferred Skills: Technology-Database Administration-NOSQL Administration-NoSQL Technology-OpenSystem-Python - OpenSystem-Flask Technology-Machine Learning-TensorFlow Technology-Machine Learning-Python

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education At least 5 years of experience in Pyspark, Spark with Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems in Data Pipeline creation , deployment , Maintenance and debugging Experience in scheduling and monitoring Jobs and creating tools for automation At least 4 years of experience with Scala and Python required. Proficient knowledge of SQL with any RDBMS. Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels. Ability to work within deadlines and effectively prioritize and execute on tasks. Preferred QualificationsAt least 1 years of AWS development experience is preferred Experience in Drive automations DevOps Knowledge is an added advantage. Additional Responsibilities: Advanced conceptual understanding of at least one Programming Language Advanced conceptual understanding of one database and one Operating System Understanding of Software Engineering with practice in at least one project Ability to contribute in medium to complex tasks independently Exposure to Design Principles and ability to understand Design Specifications independently Ability to run Test Cases and scenarios as per the plan Ability to accept and respond to production issues and coordinate with stake holders Good understanding of SDLC Analytical abilities Logical thinking Awareness of latest technologies and trends Technical and Professional : Primary Skills Pyspark, Spark and proficient in SQL Secondary Skills Scala and Python Experience 3 + Yrs Preferred Skills: Bigdata-Spark Bigdata-Pyspark Bigdata-Python

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Technical and Professional : Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Job Overview:As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies.2.Technical Skills: Deep Learning FrameworksProficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision ToolsExpertise in OpenCV, Dlib, and other image processing libraries. Model DeploymentExperience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). AlgorithmsStrong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming LanguagesProficient in Python, C++, and other relevant programming languages for computer vision tasks. Data HandlingExperience working with large datasets, data augmentation, and preprocessing techniques. OptimizationSkills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). Additional Responsibilities: trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes. Technical and Professional : Technology-Artificial Intelligence-Computer Vision Preferred Skills: Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities - Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines.- Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution.- Collaborate with CPU, GPU, and Neural Engine hardware backends to push inference performance and efficiency- Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models, including large language models- Automate data processing and extraction- Engage with sales team to find opportunities, understand requirements, and translate those requirements into technical solutions.- Develop reusable ML models and assets into production. Technical and Professional : - Excellent Python programming and debugging skills. (Refer to Pytho JD given below)- Proficiency with SQL, relational databases, & non-relational databases- Passion for API design and software architecture.- Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners- Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems.- Experience with modern large language model (Chat GPT/BERT) and applications.- Expertise with performance optimization.- Experience or knowledge in public cloud AWS services - S3, Lambda.- Familiarity with distributed databases, such as Snowflake, Oracle.- Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Preferred Skills: Technology-Big Data - Data Processing-Spark Technology-Machine Learning-R Technology-Machine Learning-Python

Overall 4-8 years of experienceMinimum 3+ years of hands-on experience on AI technologies (NLP/ASR/Computer vision/)Minimum 2 years of hands-on coding experience in AI Use case developmentProficiency in Python on AI related work is mustExperience on NLP is must need to have good knowledge of RAG, LLMs, transformers, vector database, embeddings etc.Overall knowledge of AI Ecosystem needed to develop AI project IDEs (Jupyter, Anaconda, VSC), Hardware requirements, AI models, Huggingface, Kaagle, Google collabGood understanding of AI/ML concepts is must NLP, Deep learning with Neural networks, Reinforcement learning.Understanding of SDLC processes, configuration management (github), documentationGood communication and interpersonal skills

Job type : CONTRACT Required Skills: . 10+ years of experience in building highly scalable software systems/platforms. . Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. . Experience building elegant technical architectures that solve complex customer problems. . Strong hands-on experience in one or more object oriented programming languages, preferably Python. . Solid experience in API development and API lifecycle management . Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. . Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. . Experience with the full software lifecycle in highly agile and ambiguous environments . Excellent interpersonal and communication skills. . Ability to support/resolve production customer escalations with excellent debugging and problem solving skills. Preferred Skills: . Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. . Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. . Experience with IAC, preferably terraform. Possible to travel Chennai for meetings.

Role & responsibilities AI-Driven IT Infrastructure Optimization: Develop predictive analytics models to monitor and enhance IT system performance. Implement anomaly detection algorithms for security, fault detection, and intrusion prevention. Use AI to automate IT operations, including incident response, log analysis, and system diagnostics. Machine Learning Model Development & Deployment: Design and train AI/ML models for IT infrastructure automation, cloud resource optimization, and workload balancing. Implement LLMs and NLP to enhance IT ticketing systems and self-healing .Deploy AI models into cloud-based and on-prem IT environments using MLOps best practices. Data Science & Engineering: Collect, pre-process, and analyze large-scale IT infrastructure logs, telemetry, and system health data. Build and maintain real-time data pipelines for AI-driven IT operations (AIOps). Utilize big data tools (Hadoop, Spark, Kafka) for large-scale infrastructure analytics. Collaboration & Innovation: Work with IT teams, DevOps, and security engineers to integrate AI solutions into existing infrastructure. Research and experiment with Generative AI models (e.g., GPT, BERT, LLaMA) to improve IT workflows and automation. Stay updated on emerging AI trends in IT operations, cybersecurity, and cloud management. Preferred candidate profile Bachelors degree in engineering, Information Technology, or a related field (or equivalent experience). A skilled Data Scientist to be able to research and devise innovative ML and Deep Learning algorithms for given problems Design, develop, and deploy machine learning models to solve business challenges, including predictive analytics, recommendation systems, and optimization problems. Analyse large, complex datasets to uncover trends, patterns, and insights that inform business strategies and product development. Clean, pre-process, and transform raw data into formats suitable for analysis and modelling. Deep understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and generative AI techniques (e.g., GANs, VAEs, transformers). Strong programming skills in Python, R, or similar languages. Experience with data manipulation and analysis using SQL, Pandas, NumPy, etc. Familiarity with big data technologies (e.g., Hadoop, Spark).

We are seeking a passionate and skilled Generative AI Engineer to join our AI/ML team. You will be responsible for designing, developing, and deploying cutting-edge GenAI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for someone who thrives in a fast-paced environment and is excited about building intelligent systems that push the boundaries of AI. Key Responsiblity: Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems. Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure. Optimize model performance and ensure robustness in production environments. Stay updated with the latest research and advancements in generative AI and deep learning. Skill: Strong programming skills in Python with experience in building ML/NLP applications. Hands-on experience with Deep Learning , Machine Learning , and Natural Language Processing . Proficiency in working with LLMs (e.g., GPT, LLaMA, Mistral) and RAG architectures. Experience with Agentic AI frameworks and autonomous agent design. Familiarity with FastAPI for building RESTful APIs. Experience with CI/CD pipelines and deploying solutions on Azure Cloud . Solid understanding of data structures, algorithms, and software engineering principles. Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field. If you are interested, please share your resumes to jyothiveerabh.akula@hcltech.com

Responsibilities: * Develop ML models using Python, TensorFlow & PyTorch. * Implement NLP techniques with focus on natural language understanding. * Collaborate with cross-functional teams on CV projects.

Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude

-Build scalable ML pipelines (data ingestion to deployment). -Expertise in Python, pandas, scikit-learn, xgboost/lightgbm. -Strong grasp of model evaluation, validation, and generalisation. -Docker/MLflow for orchestration; AWS/GCP deployment.

Role & responsibilities Main Skills : AI Archt (Solutions/Technical) - LLM/Gen AI + Any Cloud + Python 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 : Natural Language Processing (NLP) Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop applications and systems utilizing AI tools and Cloud AI services. - Apply GenAI models as part of the solution. - Implement deep learning and neural networks. - Create chatbots and work on image processing. - Collaborate with team members to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP).

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras / Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process

Requesting only candidates with relevant experience to apply for the position. We are looking for candidates who can join us immediately or 30 days of official Notice Period Role & responsibilities: You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. Follow/maintain an agile methodology for delivering on project milestones. Preferred candidate profile Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 5 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++

Job description AlgoAnalytics is looking for a Data Scientist who has the passion for AI/ML solution development and cutting-edge work in Gen AI. Minimum 3 years of experience in AI/MI including Deep Learning, and exposure to Gen AI/LLM is required along with tools/techs/libraries like Agentic AI, Dify/Autogen, Langraphetc. Detailed understanding of Cloud technologies and Deployment with good hands-on experience is an added advantage. Key Responsibilities: AI/ML & Gen AI Development: Develop Gen AI/LLM models using OpenAI, Llama, or other open-source/offline models. Utilize Agentic AI frameworks and tools like Dify, Autogen, Langraph to build intelligent systems. Perform prompt engineering, fine-tuning, and dataset-specific model optimization. Implement cutting-edge research from AI/ML and Gen AI domains. Work on cloud-based deployments of AI/ML models for scalability and production readiness. Leadership & Mentoring: Troubleshoot AI/ML, Gen AI, and cloud deployment challenges. Mentor junior team members and contribute to their skill development. Identify team members for mentoring, hiring, and technical initiatives. Ensure smooth project execution, deadline management, and client interactions. Research & Innovation: Explore and implement recent AI/ML research in practical applications. Contribute to research publications, internal knowledge-sharing, and AI innovation. Qualifications: 2-3 years of hands-on experience in Machine Learning, Deep Learning, and Gen AI/LLMs. Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or Statistics (with strong programming knowledge). Skills: Programming: Strong expertise in Python and relevant ML/AI libraries. AI/ML & Gen AI: Deep understanding of Machine Learning, Deep Learning, and Generative AI/LLMs. Agentic AI & Automation: Experience with Dify, Autogen, Langraph, and similar tools. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps deployment pipelines. Communication & Leadership: Strong ability to manage teams, meet project deadlines, and collaborate with clients. Note - We would prefer Pune based candidates. Candidates joining immediately will be prefered.

Skills Required: Proficiency in Python, SQL, Natural Language Processing (NLP), and strong data management skills, Artificial Intelligence Machine Learning, integrate AI/ML models into existing systems, delivering AI/ML projects from inception to deployment. Responsibilities: -Develop and implement AI/ML solutions to address business challenges -Collaborate with cross-functional teams to integrate AI/ML models into existing systems -Conduct research and stay updated with the latest advancements in AI/ML technologies -Proven track record of delivering AI/ML projects from inception to deployment -Strong problem-solving skills and ability to work independently and in teams. Minimum 5 years of hands-on experience in Artificial Intelligence/Machine Learning .

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Must have skills Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow framework. Variations of CNN, Auto Encoders Proficiency in machine learning/audio preprocessing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features. Signal Processing fundamentals Experience in Acoustic models for speech recognition systems. Good to have Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Roles & Responsibilities : Responsible for developing new features and models as part of our core product through applied research. Understand, apply and extend state-of-the-art NLP research to better serve our customers. Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. Think creatively to identify new opportunities and contribute to high-quality publications orpatents. Desired Qualifications and Experience : At Least 1 year of professional experience. Bachelors in Computer Science or related fields from the top colleges. Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, recommendation systems, information retrieval. Experience applying ML to solve complex business problems from scratch. Experience with Python and a deep learning framework like Pytorch/Tensorflow. Awareness of the state of the art research in the NLP community. Excellent verbal and written communication and presentation skills.

Role: In this role, you'll be programming in Python to create the core software that powers advanced computer vision and modeling applications. These tools use complex math to interpret and generate visual data, like images or 3D models You'll get to work with the latest research in fields like artificial intelligence, computer vision (helping users see” and understand images), and computer graphics (generating images or animations). The ideal candidate will have a proven track record of success in machine learning projects, a strong technical background, and excellent communication skills. We are agnostic to your choice of development environment; however, we need a convincing demonstration that you will be able to self-support in the environment of your preference. Responsibilities include, but not limited to: Implement, in Python, core deep-learning/computer vision and (inverse-) procedural modeling algorithms, with varying levels of oversight. These algorithms rely on mathematical techniques from linear, algebra, probability, and geometry. Apply cutting-edge research in machine learning, computer vision, and computer graphics. Work closely with leadership to understand high-level product vision and customer requirements. Utilize Git for effective source code management. Deploy and test your code on large scale geospatial datasets (and ultimately generate 3D content that will be available to users) This requires you to interact with remote machines via a Unix shell. Qualifications: degree in Computer Science, Engineering, Mathematics, or a related field 3+ years of relevant industry experience in a fast paced, high growth tech environment. Proficiency in Python Experience training artificial neural networks or adjacent experience (e.g. gradient descent / nonlinear optimization / classical machine-learning) Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders. Hands-on experience with Tensor Flow and Keras (or similar frameworks) in developing, training, and deploying deep learning models. Desired Characteristics: Familiarity with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline. Experience with Git is preferred. A mathematical background covering linear algebra, probability, multivariate calculus, geometry, and numerical methods. Our development and production environments are Linux and macOS based. Confidence in a Unix shell environment (e.g. bash) is essential for working in our setup. Problem-solving skills, attention to detail, and the ability to thrive in a fast-paced environment.

Job Title: AI Prompt Engineer Internship Company: Pranathi Software Services Pvt Ltd Location: Hyderabad, Telangana Employment Type: Internship (Full-time / Part-time) Duration: 3 Months Start Date: Immediate / As per availability About the Role: We are looking for enthusiastic and detail-oriented AI Prompt Engineering Interns with a strong foundation in AI concepts and excellent English communication skills. As an intern, you will work closely with our AI and product teams to develop, test, and refine prompts that optimize the performance of large language models (LLMs) like ChatGPT, GPT-4, and similar tools. This internship offers hands-on experience in one of the most in-demand AI roles in the industry. Requirements: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, English, or related fields. Basic understanding of AI/ML concepts, large language models (LLMs), and natural language processing (NLP). Excellent command of written and spoken English. Strong analytical thinking, creativity, and attention to detail. Ability to work independently as well as part of a collaborative team. Interested can share your resume at giribabu@pranathiss.com