2167 Deep Learning Jobs - Page 19

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 : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing systems and processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Role: Lead Data Scientist. Location: Bengaluru, Karnataka. Mode : Work from Office Notice Period: Immediate to 20 days. Job Description The incumbent will be part of the Predictive Analytics, Digital Analytics, Data Sciences, Advanced Visualization, Insights & Experimentation team and will report to the Manager/Senior Manager. He/she will be an individual contributor working on multiple data sciences, advanced visualization and data management initiatives across multiple companies and industries leveraging traditional and big data. The incumbent will have the unique opportunity to witness the application of analytics across multiple industry verticals. Close partnership with business and the senior leadership of multiple Tata Companies will enable a clear understanding of the business perspectives and the application of analytics for solving real business problems. Key Responsibilities: • Apply AI| ML , Deep Learning, Computer Vision, Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions • Assess accuracy of new data sources and data gathering techniques • Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution • Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms • Apply advanced Machine Learning Algorithms and Statistics: o Regression, Simulation, Scenario Analysis o Time Series Modelling o Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes o Clustering, K-Means, Apriopri o Ensemble Models - Random Forest, Boosting, Bagging o Neural Networks • Lead and manage Proof of Concepts and demonstrate the outcomes quickly • Document use cases, solutions and recommendations • Work analytically in a problem-solving environment • Work in a fast-paced agile development environment • Coordinate with different functional teams to implement models and monitor outcomes • Work with stakeholders throughout the organization to identify opportunities for leveraging organisation data and apply Predictive Modelling techniques to gain insights across business functions - Operations, Products, Sales, Marketing, HR and Finance teams • Help program and project managers in the design, planning and governance of implementing Data Science solutions Experience and Skills: • 8+ years of professional working experience in Analytics • Experience in Leading Team and Guiding through Project End to End Delivery. - Experience in Retail, Financial Services and Manufacturing • Experience using statistical packages of R, Python and Spark ML to work with data and draw insights from large data sets • Experience with distributed data/ computing tools: Hadoop, Hive, Spark, Python • Experience with SQL • Experience visualizing/ presenting data for stakeholders using matplot, ggplot or Excel or Tableau • Excellent written and verbal communication skills for coordinating across teams Education qualification: • Bachelors/ Masters in a quantitative discipline (Statistics, Econometrics, Mathematics, Engineering and Science)

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 : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. 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 using AI tools and Cloud AI services.- Implement deep learning and neural networks in solutions.- Create chatbots and work on image processing tasks.- Collaborate with team members to provide innovative solutions.- Stay updated with the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- 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 like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques including data cleaning, transformation, and normalization. Additional Information:- The candidate should have a minimum of 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Cloud Infrastructure Good to have skills : Infrastructure Service Management, SAP GRC( AC.PC,RM)Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements. You will also review and integrate the technical architecture requirements and provide input into final decisions regarding hardware, network products, system software, and security. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the design and implementation of cloud infrastructure solutions.- Collaborate with stakeholders to understand and define infrastructure requirements.- Ensure the scalability, security, and reliability of cloud infrastructure systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Infrastructure.- Strong understanding of cloud service models and deployment models.- Experience with infrastructure automation tools like Terraform or Ansible.- Knowledge of networking concepts and protocols.- Hands-on experience with cloud security best practices. Additional Information:- The candidate should have a minimum of 15 years of experience in Cloud Infrastructure.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

Experience : 4 + years Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote ,New Delhi,Bengaluru,Mumbai Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Our engineers dont just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges this role is for you. Youll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What Youll Do Build and own AI-backed features end to end, from ideation to production including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations from custom masks and color space conversions to geometric warps and contour ops with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague youll help define what good looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs you own your domain What Youll Need 2-3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1-2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables you write clean, tested code and debug edge cases until theyre truly fixed The ability to frame problems from scratch and work without strict handoffs you build from a goal, not a ticket Who You Are Youve built systems not just prototypes You care about both ML results and the systems behavior in production Youre comfortable taking a rough business goal and shaping the technical path to get there Youre energized by product-focused AI work things that users feel and rely on Youve worked in or want to work in a startup-grade environment: messy, fast, and impactful

Lead the design and development of AI-powered agents and tools using composable AI platforms like Cognigy, Q Business, azure OpenAI. Build scalable, cloud-integrated AI solutions that drive enterprise productivity and innovation. Key Responsibilities: Design AI agents and workflows on composable AI platforms. Integrate AI solutions with cloud platforms (AWS, Azure, GCP). Collaborate with stakeholders to translate business needs into AI solutions. Lead prototyping and POCs for new AI capabilities. Ensure compliance with security and governance standards. Skills: Overall 7+ years in AI solution design, with hands-on experience Excellent communication and leadership skills, with a strong ability to translate business requirements into AI solutions. Strong understanding of Generative AI Strong Python programming skills for customization and integration. Expertise with cloud AI/ML services and APIs (AWS, Azure, GCP). Deep understanding of NLP and conversational AI design. Experience integrating AI tools with enterprise systems. Familiarity with responsible AI principles and data privacy.

Job Overview Are you a knowledgeable ML/AI professional or instructor with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Content Contributor, you will work with the curriculum team to create engaging, instructionally sound learning experiences in the Machine Learning and AI domain. Working with subject matter experts (SMEs), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Skills Required Excellent scripting, writing, and communication skills; able to distil complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with AI/ML libraries such as NumPy, Pandas, Sci-kit Learn, HuggingFace, and Langchain. Experience working with AI/ML technology and topics such as Agents, LLMs, OpenAI, Claude, Gemini, Copilot, and Deep Learning. Preferred/Additional Skills: Relevant certifications in AI. Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. You will work on cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. 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 using 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 the team to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- 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 like 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 3 years of experience in Machine Learning.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry Pi, Blender, Computer Vision, OpenCV, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 35 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment

Company Overview: Our exclusive members-only community is designed with a clear purpose: to guide individuals towards achieving financial freedom and reaching the top 1%. We firmly believe that Indias financial services sector is underutilized, and our core strategy revolves around raising awareness through targeted content creation, effectively channeling a high-intent audience towards financial services. As members of our community, our primary commitment shifts towards empowering individuals to embrace the all-encompassing lifestyle enjoyed by the top 1%. This entails: 1. Enhancing their financial returns. 2. Unlocking their full earning potential. 3. Cultivating a robust network of connections. About Bombay Trading School (BTS): At Bombay Trading School (BTS), we re not just teaching trading, we re building the next generation of confident, real-world-ready traders. Our hands-on programs are designed for ambitious professionals who are serious about levelling up their skills. Now, for the first time, we re bringing our powerful classroom experience to Bangalore and we re looking for a vibrant, energetic On-Ground Program Manager to be the heartbeat of this launch. Key Responsibilities 1. C lassroom Setup & Operational Coordination Arrive 30 minutes before class to ensure the classroom is fully set up, including smart TV, camera, and audio checks. Ensure timely recording, uploading, and sharing of all pre- and post-class materials. Oversee smooth daily operations, acting as the behind-the-scenes enabler of an excellent classroom experience. 2. Student Engagement & Experience Lead the 15-minute break sessions to create a relaxed and engaging environment for students. Take daily attendance and foster meaningful conversations to ensure high student engagement. Act as the primary point of contact for student support whether for queries, clarifications, or motivation. 3. Com munication & Coordination Share concise daily updates via WhatsApp and email (content will be provided). Collaborate with faculty for scheduling, content confirmation, and coordination of prep calls. 4. Administrative Responsibilities Manage, rename, organize, and share classroom recordings in an accessible format. Circulate weekly book summaries every Sunday to support continuous learning. Attend mid-week Zoom check-ins to monitor student progress and engagement. 5. Social Media & Community Vibes Capture behind-the-scenes content for Instagram Stories to showcase the class environment. Share moments that reflect the balance of deep learning and vibrant community spirit. What You ll Gain Be at the heart of one of Bangalore s most dynamic weekend learning communities. Gain exposure to immersive trading education in action. Network with industry experts, educators, and high-performing students. Contribute to BTS s mission of transforming trading education in India. Life at The 1% Club: Founded by Sharan Hegde (linkedin.com/in/sharanhegde95) and Raghav Gupta (linkedin.com / in / raghavgupta01) , company culture is centered around creativity, innovation, and teamwork, and we value our employees as much as we value our audience. We provide a fun and inclusive work environment with opportunities for growth and development. And if thats not enough, we also offer a competitive salary and a chance to work on exciting projects that challenge you to think outside the box and push the boundaries of whats possible. So if youre a social media savvy personal finance enthusiast looking for a cool place to work, join our team and be part of our mission to educate and empower India to take control of their finances. Dont miss out on the opportunity to be a part of a talented and dedicated team working towards a common goal. Apply now to join our team!

Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote What do you need for this opportunity Must have skills required: Start-up Experience, Python, Ml frameworks, Statistical analysis, CNNs, Machine Learning, Computer Vision, AI models Leegality is Looking for: What you'll do As an ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities, and have a real impact on our product. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Exposure to generative AI (LLM) based ML architectures Experienced in working with CNN. Knows how to train and fine-tune CNN-based models. Documenting machine learning processes. Requirements: 1+ years of relevant experience in Machine Learning Engineering. Advanced proficiency with Python. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Preferences: Start-up experience is good to have. Willing to join immediately, ideally. Female candidates are preferred Interview Process - Technical Round 1 - ML Fundamentals, NLP models Assessment Technical Round 2 - Discussion on the assignment submitted modify it according to the requirements Round 3 - with the Tech Lead - Tech Managerial - Past projects in-depth knowledge of ML

What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLMs use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills and Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the teams and companys benefits. Think outside the box mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially hallucinate and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently.

Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Hyderabad office. Date - 5th July 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Hyderabad Office Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Job Title: Senior AI/ML Engineer Custom LLM & RAG Implementation Location: On-site Experience: 7+ years Industry: Cross-Domain (Finance, Healthcare, Logistics, Retail, LegalTech, etc.) About the Role We are seeking a highly skilled and hands-on Senior AI/ML Engineer with strong expertise in building and deploying custom Large Language Models (LLMs) . The ideal candidate will have demonstrable experience in Retrieval-Augmented Generation (RAG) implementations, fine-tuning foundation models , and solving complex problems across domains using applied machine learning and natural language processing. This role is strategic and technical, requiring a blend of research, solution engineering, MLOps maturity, and domain adaptability. Key Responsibilities LLM Development & Deployment Design, build, and deploy customized LLM pipelines tailored to enterprise use cases. Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring. RAG & Fine-Tuning Implement RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and document ingestion frameworks (e.g., LangChain, Haystack). Fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral, MPT) on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA. Solution Engineering Translate business problems into ML/LLM solutions with clear problem framing and data strategy . Collaborate with product, data engineering, and domain teams to prototype and deliver scalable solutions. Cross-Functional AI Applications Apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP. Build domain-agnostic prompt engineering strategies and apply zero-shot/few-shot learning where appropriate. Leadership & Mentorship Mentor junior engineers and contribute to AI/ML best practices . Act as a thought partner in innovation and experimentation within the team and with external stakeholders. Required Skills & Qualifications Bachelors or Master’s in Computer Science, AI/ML, Data Science, or related field. 5+ years of hands-on experience in ML/NLP , with a recent focus on LLMs and foundation models. Deep knowledge of Hugging Face ecosystem , PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries. Experience deploying ML models to production using FastAPI, Docker, Kubernetes , or cloud-native tools (AWS/GCP/Azure). Familiarity with vector databases , embeddings, and search frameworks. Strong understanding of model evaluation metrics , bias/fairness in ML, and responsible AI practices. Ability to work cross-functionally with business, legal, and engineering teams. Preferred Qualifications Experience with RLHF (Reinforcement Learning from Human Feedback) . Published work in open-source communities or AI research conferences. Familiarity with multi-modal AI , autoML , or agentic workflows is a plus. Prior work in regulated domains (e.g., finance, healthcare, legal). Why Join Us Work on cutting-edge AI/LLM use cases that span industries and functions. Lead mission-critical AI initiatives from ideation to deployment. Be part of a collaborative, innovation-driven team shaping the next generation of enterprise AI solutions.

Work shift Timings 11 AM to 8 PM Notes : Overall 10-14 yrs. of exp + Full time Undergraduation Must have Strong experience in Data Science for atleast 6+ yrs. Hands on experience in Machine learning & Deep learning Should have worked in LLM, RAG, SFT, CPT Models Should have exp in Cloud based tools for Machine learning Operations (Deployment) Azure Databricks, AWS Sagemaker Should have exp in Frameworks like Flask, Fast API Team management is compulsory Job Title: Manager - Government and Public Services Enabling Areas (GPS EA). The Team: GPS GSi The Role: Senior Data Scientist The Team: Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and collaborating with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently / as a team, and apply problem-solving skills to resolve complex issues. Work you will do. Technology: • Deliver exceptional client service. Maximizes results and drives high performance from people while fostering collaboration across businesses and geographies • Interfacing with business customers and leadership to gather requirements and deliver complete Data Engineering, Data Warehousing, and BI solutions. • Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. • Develop, design, and/or advise on Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.) • Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models. • Maintain structured documentation of project development stages, including the utilization of GitHub and/or Jira for version control and project management. • Demonstrate effective communication skills with the ability to provide expertise and break down complex analytical solutions to explain to clients. • Remain current with latest industry trends and developments in data science and/or related fields, with the ability to learn new skills and knowledge to advance the skillset of our Data Science team. • Apply thorough attention to detail, and carefully review data science solutions for accuracy and quality. Leadership: • Develop high-performing teams by providing challenging and meaningful opportunities, and acknowledge their contributions to the organization's success. • Establish the team's strategy and roadmap, prioritizing initiatives based on their broader business impact. • Demonstrate leadership in guiding both US and USI teams to deliver advanced technical solutions across the GPS practice. • Serve as a role model for junior practitioners, inspiring action and fostering positive behaviors. • Pursue new and challenging initiatives that have a positive impact on our Practice and our personnel. • Establish a reputation as a Deloitte expert and be acknowledged as a role model and senior member by client teams. • Support and participate in the recognition and reward of junior team members. People Development: • Actively seek, provide, and respond to constructive feedback. • Offer development guidance to the GSi team, enhancing their people, leadership, and client management skills. • Play a pivotal role in recruitment and the onboarding of new hires. • Engage in formal performance assessment activities for assigned staff and collaborate with Practice leadership to address and resolve performance issues. • Serve as an effective coach by helping counselees identify their strengths and opportunities to capitalize on them. • Foster a "One Team" mindset among US and USI team members. Qualifications: Required/Preferred: • Bachelor's degree, preferably in Management Information Systems, Computer Science, Software Engineering, or related IT discipline • Minimum of 10+ years of relevant experience with data science technologies and analytics advisory or consulting firms. • Strong knowledge of LLMs and RAG. • Familiarity with AWS, Databricks, and/or Dataiku platforms. • Working knowledge of MLOps, including familiarity with containerization (e.g., Docker). • Excellent troubleshooting skills and the ability to work independently. • Strong organizational skills, including clear documentation of projects and ability to write clean code. • Familiarity with agile project methodology and/or project development lifecycle. • Experience with GitHub for version control. • Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences. • Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job. • Extensive experience with MLOps and associated serving frameworks (i.e., Flask, FastAPI, etc.) and orchestration pipelines (e.g., Sage Maker Pipelines, Step Functions, Metaflow, etc.). • Extensive experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.). • Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.). • Proficiency in basic front-end web development (e.g., Streamlit). • Knowledge of Object-Oriented Programming (OOP) concepts. • At least 3-4 years of people management skills are required. • Work Location: Hyderabad Timings: 2 PM 11PM How you’ll grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities— including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, worldclass learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world.

Fast API, Azure UI Search API (React) Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Azure Cloud Basics (Azure DevOps) Gitlab End-to-end AI solution delivery AI integration and deployment

Job Description Experience: 3+ years Key Responsibilities: Must Have experience in Gen AI OR Machine Learning OR Deep learning OR Reinforcement learning. Hands on exp in LLMs (Large Language Models). Exp in Retrieval-Augmented Generation (RAG) Interested Candidates can directly reach Mirafra office Contact Person - Jyoti Prakash

We are looking for a highly motivated and talented individual to join our team as an AI/ML Intern in Chennai. The ideal candidate will have a strong foundation in software development and a keen interest in artificial intelligence and machine learning. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy AI and ML models. Work on data analysis, modeling, and visualization to drive business insights. Develop and implement algorithms for natural language processing, computer vision, and predictive analytics. Participate in code reviews and contribute to improving the overall quality of the codebase. Stay updated with industry trends and advancements in AI and ML. Apply AI and ML techniques to solve complex problems and improve business processes. Job Requirements Strong understanding of software development principles, patterns, and practices. Proficiency in programming languages such as Python, Java, or C++. Experience with AI and ML frameworks like TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

Qualifications Required: 8+ years of relevant industry experience leading the design, development, and deployment of machine learning models Experience being the technical lead for multiple project teams simultaneously Expert understanding of the state of the art of two or more fields in artificial intelligence; NLP and generative AI, probabilistic graphical models, time-series analysis, weak supervised learning, etc Understanding of LLMs and prompt engineering Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews Expert understanding of Python and other common languages Deep understanding of machine learning model development life cycles Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS) Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.) Demonstrated ability to write high-quality, production-ready code (readable, well- tested, well-documented, with well-designed APIs) Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues Solid understanding of Docker, Jenkins, Kubernetes, and other DevOps tools Excellent written and verbal communication skills Ability to travel as needed

Job Summary As a leader in the EDO, Collection Platforms & AI Cognitive Engineering team, you will own the vision and delivery of enterprise-scale Data Science and GenAI solutions. You will define the data science strategy , champion best practices , mentor a world-class team of data scientists and ML engineers , and drive production-ready AI/ML products from ideation through deployment. This role involves working in a global team that values thoughtful risk-taking and self-initiative. Key Responsibilities Shape and execute the Data Science roadmap for ML, GenAI, and ASR, including tooling, methodologies, and best practices. Architect, develop, and deploy large-scale ML and GenAI pipelines, including Voice Activity Detection (VAD), Speaker Diarization, and ASR models. Own the full data science lifecycle, from opportunity identification and requirement gathering to modeling, deployment, monitoring, and optimization. Drive MLOps practices, including CI/CD for models, feature stores, monitoring, and automated rollback strategies. Mentor and develop junior and mid-level data scientists, fostering a culture of continuous learning and collaboration. Partner with cross-functional stakeholders to align on project goals, timelines, and SLAs. Core Requirements 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role. Proven expertise in developing and deploying ASR systems, including training models (e.g., Whisper), designing VAD pipelines, and implementing Speaker Diarization (e.g., Pyannote). Deep knowledge of large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval. Expert proficiency in Python and its core libraries, including NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, and Hugging Face Transformers. Strong understanding of ML & deep learning architectures like NLP transformers and GNNs. Experience with orchestration and deployment tools such as Docker, Kubernetes, Airflow, and cloud services (AWS/GCP/Azure). Good to Have A Master's or Ph.D. in a related technical field (Computer Science, Statistics, etc.). Prior experience in the Economics/Financial industry. Public contributions on platforms like GitHub, Kaggle, or technical blog

Company: Blubridge Technologies Pvt Ltd Role: Python Developer Vacancies: 12 Year of Passing Out: 2025, 2024, 2023 Education: Bachelor's degree in any discipline Job Location: Mandaveli, Chennai Overview: We are looking for enthusiastic and intellectually curious fresh graduates to join our team as Python Programmers. This role is designed to help you strengthen your programming and analytical skills while aligning your work with our core research initiatives. Over time, based on your growth and curiosity, you will have opportunities to contribute to advanced AI research efforts at Blubridge. Key Responsibilities: Write clean, efficient, and maintainable Python code. Collaborate closely with team members on coding tasks and research-aligned problem-solving. Engage in coding challenges and logic-based tasks to sharpen analytical thinking. Stay proactive in learning and applying new Python libraries, frameworks, and tools. Gain exposure to research-oriented projects that form the basis of our AI infrastructure. Requirements: Bachelor's degree in any discipline (Engineering/Computer Science preferred but not mandatory). High intellectual capability, strong analytical mindset, and curiosity. Strong foundation in mathematics and statistics, including calculus, linear algebra, probability, and statistics. Curiosity and enthusiasm for learning. What We Offer: A rare opportunity to be part of an early-stage AI research lab developing base model in India. Hands-on exposure to research workflows, including data processing, experimentation, and model understanding. A culture that values intelligence, learning, and exploration over formal backgrounds. Clear growth pathways into advanced research roles within our LLM development team. A supportive, stimulating, and intellectually driven environment. Apply Now: Join Blubridge Technologies to begin a career that evolves with your potential from Python programming to meaningful contributions in AI research.