5485 Deep Learning Jobs - Page 27

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.

Salary : 40 to 55 LPA Exp: 8 to 12 years Location :Gurugram Hybrid Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ years exp on Python , ML and model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 8+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Perficient India is looking for Lead Kore AI Developer to join our dynamic team and embark on a rewarding career journey Design, develop, and implement AI and ML models and algorithms to solve complex business problems Develop and implement prototypes and production-ready models using programming languages such as Python, R, or Java Perform data analysis, data preparation, and feature engineering to create datasets that are appropriate for AI and ML models Perform model selection, optimization, and evaluation to ensure that models meet business requirements and are accurate and reliable Develop and implement data pipelines, data storage solutions, and data visualization tools to support AI and ML models Deploy models to production environments and monitor their performance and accuracy over time Experience in AI and ML development

Job description: - Senior Data Scientist Organization : - Ray Business Technologies is a CMMI Level 3, ISO 27001:2013 Certified Company and The Member of NASSCOM, AIIA, NJTC and HYSEA. About Organization : Ray Business Technologies (RBT) is a global Information Technology (IT) Solutions company. Ray Business Technologies offers IT Solutions for Artificial Intelligence (AI), ERP, CMS, CRM, EAI to BFSI, Retail, Online commerce, Healthcare, Manufacturing, Media, Agriculture and Telecom verticals. Founded in 2009, 15 years of trust, A CMMI Level 3 Certified company. Responsibilities : Sound knowledge on Machine Learning, Deep Learning, statistical modelling, data analytics, algorithmic problem solving. Should poses a sound knowledge in R & D (Build from Scratch). Hands on Experience working components like- DL, Transform model, LLM, NLP, Computer Vision etc. Hands on experience in implementing Deep Learning technique. Hands on Experience of Natural Language Processing (NLP) techniques. Hands on experience in OCR technology. Inclination towards Mathematics / Statistics. Nice to have MS Excel skill, Reporting. Experience in object-oriented programming. Hands on Experience of Python or R. Good Knowledge on Cloud Technology (Azure cloud platform). Requirements: 4 - 8 years of experience in a data science or analytics role, with a proven track record of leveraging analytics to drive significant business impact. Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders. Strong knowledge of machine learning techniques (e.g., classification, clustering, regression), and experience applying them to real-world problems. Strong analytical and problem-solving skills, with a keen attention to detail. Experience with cloud platforms (e.g., Azure) and big data technologies (e.g., Hadoop, Spark) is a plus. Benefits : Competitive salary and comprehensive benefits package. Opportunities for professional development and career growth. Dynamic and collaborative work environment with talented colleagues.

Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin. The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment. Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasks: object detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer Location: Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously.

Job Summary Build AI data products like chatbots and process automation using LLMs. Work across business domains with cross-functional teams. Focus on product development, not limited to any single area. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Develop and deploy AI chatbots, virtual assistants, and automation workflows. Implement solutions using LLMs, Lang Chain, and agentic AI frameworks. Design and optimize prompts for generative AI applications. Collaborate with product managers, analysts, and engineers. Build reusable components and APIs for AI integration. Stay updated on AI advancements and best practices. Contribute to scalable architecture and agile development cycles. To ensure youre set up for success, you will bring the following skillset & experience: Strong in Python and LLM-based development. Experience with Lang Chain, prompt engineering, and agentic AI. Familiarity with React.js (preferred). Knowledge of OpenAI, Hugging Face, and Vector DBs. Understanding of ML Ops, cloud platforms, and containerization. 35+ years in AI engineering or related roles. Proven experience building production-grade AI products. Exposure to SaaS or product-driven environments. Ability to work across domains and global teams.

Principal Data Scientist/Senior Data Scientist/Data Scientist - NLP/Machine Learning Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

So, what’s the role all about? We are seeking for a Specialist Data Scientist (8 + yrs) with a strong track record of turning state-of-the-art Generative AI and classical ML techniques into production value. The Specialist Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems at the fraud prevention domain. How will you make an impact? Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. Design and develop predictive and generative models to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs. Mentor and upskill junior data scientist, champion best practices in code quality, experimentation, and documentation. Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges. Have you got what it takes? Bachelor's degree in computer science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. Minimum of 8 years of hands-on experience in data science and machine learning, with at least 1/1.5 year of experience in Generative AI development. Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, SSL, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains. Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects. You will also have an advantage if: - Experience working in industries such as finance, banking. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models. Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases. Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques. What’s in it for you? Join an ever-growing, market-disrupting global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8557 Reporting into: Tech Manager Role Type: Individual contributor

Role - Machine Learning Engineer Required Skills & Experience 5+ years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting. Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts. Proven expertise in data blending, transformation, and feature engineering , adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data. Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable. Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R). Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision . Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch ). Familiarity with MLOps tools and practices , including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines. Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs. Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development. Interested candidates share cv to dikshith.nalapatla@motivitylabs.com

As a highly skilled individual in the field of AI and machine learning, you will be responsible for designing and implementing advanced machine learning models and deep learning algorithms. Your expertise will be utilized to develop scalable ML pipelines using tools such as TensorFlow, PyTorch, Scikit-learn, or similar platforms. You will take the lead in managing the end-to-end model lifecycle, starting from data preparation to deployment and monitoring. Collaboration will be a key aspect of your role, as you will work closely with data engineers, software developers, and domain experts to seamlessly integrate AI/ML solutions into various products. Your responsibilities will also include model tuning, evaluation, and optimization to ensure accuracy and performance meet the desired standards. Additionally, creating technical documentation and presenting your findings to stakeholders will be crucial in this position. To excel in this role, you must hold a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. A Ph.D. would be preferred. Your extensive experience of 10+ years in software engineering or data science, with a minimum of 5+ years focused on AI/ML development, will be invaluable. You should have hands-on expertise in supervised/unsupervised learning, NLP, computer vision, recommendation systems, deep learning frameworks (such as TensorFlow, PyTorch), and model deployment tools like Docker, Flask, FastAPI, Kubernetes, etc. Proficiency in Python and its data ecosystem (Pandas, NumPy, Scikit-learn) is essential for this role. Moreover, strong knowledge of cloud platforms (AWS, GCP, Azure) for model deployment is required. Exceptional problem-solving and communication skills will further enhance your performance in this position. It would be advantageous if you have experience with large language models (LLMs), transformers, generative AI, and familiarity with MLOps tools (MLflow, Kubeflow, Vertex AI). Prior involvement in remote or contract roles, along with contributions to open-source AI/ML projects or research paper publications, would be considered a plus. This is a full-time role with contractual/temporary or freelance opportunities available, with a contract length of 12 months. The work schedule is during the day shift, and the work location is in person. Thank you for considering this exciting opportunity to leverage your AI/ML expertise and drive innovation in a dynamic work environment.,

We are seeking an experienced Data Architect to become a valuable member of our diverse team. In this role, your primary focus will be on delivering top-notch, scalable solutions by utilizing your expertise in Gen AI solutions, cloud technologies, and system design to exceed customer expectations. Your responsibilities will include designing and developing architectural concepts, creating technical roadmaps, and ensuring that software architecture aligns with business requirements. You will be responsible for setting up Continuous Integration, analyzing large databases on scalable cloud infrastructures, and developing prototypes using big-data technologies. As a Data Architect, you will also be expected to demonstrate cloud expertise by developing and deploying applications on leading cloud platforms, providing technical leadership, coaching team members on software design approaches, and leading efforts in application integration with PLM systems like SAP. To qualify for this role, you should hold a BE / B. Tech / ME / M. Tech degree with a minimum of 8 years of experience in data projects, including at least 2 years as a Data Architect. Your desired knowledge and experience should include a strong understanding of Data Pipelines, DevOps, Data Analysis, Data Modeling, Data Warehouse Design, Data Integration patterns, and various data management technologies. Additionally, you should possess expertise in technologies such as Python/JAVA, NO SQL DB, ETL and DWH concepts, SQL, Azure DevOps, Docker, Kubernetes, REST API, and have hands-on experience in Azure Cloud services. Knowledge of Machine Learning & Deep Learning, fine-tuning pre-trained models, model deployment, API development & integration, and event-driven architecture will be advantageous. Soft skills and other capabilities required for this role include excellent problem-solving and decision-making skills, effective communication abilities, the capacity to work independently, self-motivation, and strong teamwork skills to lead and motivate team members technically.,

The role of a computer vision engineer involves analyzing RGB and 3D camera streams to identify human key markers such as parental interventions, baby presence, baby sleep states, and health analytics within a resource constrained embedded system. This is achieved by utilizing a combination of classical DSP and neural networks to translate scientific concepts like optical flow, signal extraction, and real-time inference into code that runs on embedded Linux. One of the responsibilities includes leading data collection campaigns by setting up annotated video datasets under various lighting conditions. Analyzing vast amounts of vision data for patterns in both 3D and RGB formats is also a crucial aspect of the role. Additionally, building and refining computer vision pipelines in Python using OpenCV or neural networks to detect and track baby movement, posture, and breathing is essential. Furthermore, the role requires cross-compiling and deploying vision modules to ARM-based SoCs while optimizing for CPU/GPU constraints and power budgets. It would be advantageous for candidates to have 5-8 years of prior experience in computer vision engineering and signal processing. Proficiency in Python and OpenCV for tasks such as image processing, filtering, optical flows, SVD, and PCA is highly desirable. Hands-on experience with deep learning vision frameworks like TensorFlow and PyTorch, as well as model quantization for edge inference, is considered a plus. A strong understanding of traditional DSP techniques and linear algebra is also beneficial for this role.,

The company Deccan AI is looking for a dynamic individual to join them as the Head of Machine Learning (ML) in Hyderabad, India. As the Head of Machine Learning, you will be responsible for leading the AI and ML initiatives of the company. This role requires a deep expertise in ML/Generative AI, a strong academic background from a top-tier institution, and prior experience in a startup environment. The ideal candidate should excel in ambiguous environments, have experience working with clients, and be passionate about driving AI innovation. This is a great opportunity to lead a high-performing team in a rapidly growing startup. Your key responsibilities will include defining and executing the ML and GenAI strategy to align with business goals, leading and scaling a high-performance ML team, driving AI/ML initiatives from concept to deployment, and navigating ambiguity in a fast-paced startup environment. Additionally, you will oversee the development of cutting-edge ML and GenAI models, stay updated with AI trends, integrate the latest technologies into product offerings, engage with clients to deliver tailored AI solutions, communicate complex AI concepts to various stakeholders, and collaborate cross-functionally to ensure successful AI product integrations. To excel in this role, you should have at least 8 years of experience in ML/GenAI, with a minimum of 3 years in a leadership position. Prior experience in a startup environment and client-facing roles is crucial. You should also possess expertise in deep learning, generative models, and relevant AI technologies such as TensorFlow and PyTorch. Experience in deploying and scaling AI/ML models in production is also required. A top-tier academic background (PhD or Masters) in AI, ML, or a related field is preferred. Soft skills such as high-energy, self-driven attitude, strong problem-solving mindset, excellent communication, and leadership skills are essential for success in this role.,

PristineAI is leading the retail revolution by developing advanced AI solutions that enhance pricing, promotions, personalization, and assortment management. Our innovative platforms, powered by Natural Language Processing (NLP) and forecasting technologies, equip decision-makers with powerful tools. With our presence in Woburn, MA, and Engineering Labs in Mumbai and Chennai, we are a fast-growing team committed to pushing the boundaries of AI to deliver impactful and industry-first solutions. Our flagship platform, Kai, leverages Natural Language Processing to democratize AI for decision-makers. Additionally, our Presto forecasting and optimization platform significantly increases retailer profitability. Every day, our SaaS platform learns from over 40 million new customer interactions across 12,000 stores/websites and 30 million customers. If you are a creative problem solver and team player, we welcome you to join our dynamic AI team. We are currently looking for a Lead AI Engineer with over 5 years of hands-on experience to join our team in Mumbai. The ideal candidate should possess a solid foundation in AI, Mathematics, Statistics, or Computer Science, and demonstrate proven implementation skills. Expertise in Deep Learning would be a valuable asset. As we integrate LLM and Copilot technologies into our solutions, we seek individuals who are passionate about creatively applying these technologies. AI plays a central role in our platform, influencing both the user experience and backend functionalities. We are in search of engineers who are enthusiastic about engaging in all stages of the solution lifecycle and embracing the technologies used to build cutting-edge solutions. **Role:** Lead AI Engineer **Qualification:** Bachelors or Masters degree in Computer Science, Software Engineering, AI, Statistics, or Math **Experience:** 5+ years in AI/ML engineering roles, with at least 2-3 years in a senior technical leadership position **Location:** Mumbai, India **Industry:** IT - SaaS, Retail **Job Type:** Full-Time, Permanent (Work from office) **Key Attributes and Abilities:** - Exceptional problem-solving skills with expertise in problem definition and developing alternative solution approaches - Strong design abilities and proficient in generating clean, efficient, and maintainable code - Excellent verbal and written communication skills - Adaptability to dynamic environments and shifting priorities - Collaborative mindset and effective team player - Hands-on experience in project development and support - Proficiency in conducting rigorous reviews and offering quality feedback **Technical Expertise and Familiarity:** - Supervised and unsupervised learning, deep learning, and NLP techniques - Proficiency in LLM technologies, causal inference, and A/B testing - Familiarity with optimization techniques and data visualization tools - Programming languages: Python, R, SQL - ML frameworks and libraries: TensorFlow, PyTorch, SkLearn - Database experience: Oracle, SQL/NoSQL, MySQL **Responsibilities:** - Develop and deploy AI/ML models for retail optimization - Collaborate with cross-functional teams to implement solutions and enhance data models - Build analytical tools to provide insights into key business metrics - Deploy AI models into production environments and manage data attributes - Innovate AI infrastructure for scalability and efficiency - Mentor junior engineers and ensure high-quality AI systems - Stay updated with AI research and integrate emerging technologies into solutions - Conduct code reviews and troubleshoot data quality issues **Remunerations and Benefits:** - Opportunity to shape the future of the industry in a start-up environment - Work with talented Retail Business Practitioners, Consumer Behavior Analysts, AI Experts, and Engineers - Annual study time allocation - Competitive salaries, equity, and health insurance coverage PristineAI is an equal opportunity employer that values diversity and is dedicated to creating an inclusive work environment for all employees.,

As a Data Science Manager at S&C GN, you will be part of an innovative team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. The Marketing Analytics team focuses on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Your responsibilities will include developing and fine-tuning Generative AI models, building and deploying ML models for various use cases, performing customer segmentation and behavioral analysis, optimizing conversational AI workflows, analyzing large-scale customer interaction data, and collaborating with cross-functional teams to integrate AI-driven solutions. You will have the opportunity to work on cutting-edge AI and data science techniques, driving real-world impact in the contact center space. As a manager, you will play a crucial role in stakeholder engagement, client communication, and business development. You will be responsible for translating complex AI/ML insights into actionable business strategies, presenting them to senior leadership and clients, and leading client presentations, proposal development, and business growth initiatives. To be successful in this role, you should have a PhD with 6+ years of relevant experience, a Masters degree with 8+ years of experience, or a Bachelors degree with 11+ years of experience. If you are passionate about applying data science to solve real-world customer experience challenges, this is the team for you!,

As a Machine Learning Engineer in our Bangalore, India office, you will utilize your 4+ years of experience to design, develop, and deploy scalable machine learning models that enhance our products and services. Your passion for data will drive you to collaborate with cross-functional teams and leverage the latest advancements in machine learning and AI to optimize internal processes and enhance customer experience. Your responsibilities will include designing and implementing ML models for production, collaborating with data scientists and engineers to address business needs, performing data cleaning and feature engineering, evaluating model performance, and managing the lifecycle of ML models. You will also implement MLOps best practices, stay updated on industry trends, and ensure model accuracy and data integrity. Preferred skills for this role include experience with deep learning architectures, NLP, and computer vision, familiarity with big data tools like Spark and Hadoop, knowledge of SQL and data warehousing solutions. This full-time, permanent position will have a day shift schedule from Monday to Friday, with work location required in-person. If you are a proactive and dedicated Machine Learning Engineer with a drive for innovation and a keen eye for data optimization, we invite you to join our dynamic team and make a real impact through the power of machine learning.,

Role: Gen AI Engineer Location - Coimbatore Mode of Interview - In Person Date - Scheduled Interview Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

As a member of the Aria Intelligent Solutions team located in Kolkata or Delhi, India, you will have the opportunity to contribute to cutting-edge research and development in the field of Artificial Intelligence. Aria is dedicated to combining industry expertise with the latest technological advancements to achieve exceptional outcomes. By being a part of our team, you will play a crucial role in pioneering advancements in NLP (Natural Language Processing) and Generative AI, driving innovation and delivering impactful solutions. Your responsibilities will include conducting groundbreaking research in NLP and Generative AI, continuously exploring new techniques and algorithms to enhance our understanding and applications. You will be tasked with designing, implementing, and training advanced NLP and Generative AI models for various purposes such as text generation, machine translation, question answering, and sentiment analysis. Data analysis will also be a key aspect of your role, involving the cleaning, preprocessing, and analysis of extensive datasets to derive valuable insights that will guide model development. Collaboration with cross-functional teams to identify and address complex data-driven challenges will be essential. You will be expected to contribute to driving innovation by discovering new applications of NLP and Generative AI across diverse domains. Furthermore, you will have the opportunity to provide mentorship and guidance to junior data scientists and researchers, sharing your expertise and fostering their professional growth. To excel in this role, you should possess a Master's or Ph.D. degree in Computer Science, Data Science, or a related field, along with 7-8 years of experience in data science focusing on NLP and Generative AI. Proficiency in Python and common data science libraries is required, as well as a deep understanding of NLP concepts and techniques such as tokenization, stemming, lemmatization, feature engineering, and various deep learning architectures. Familiarity with state-of-the-art NLP models and frameworks like Transformers, BERT, and GPT is crucial. Strong problem-solving skills, the ability to work independently, excellent communication skills, and effective collaboration with cross-functional teams are also vital for success in this role. Bonus points will be awarded if you have experience with cloud platforms like AWS, GCP, or Azure, knowledge of machine learning operations (MLOps) and data pipelines, and a track record of publications in top-tier conferences or journals within the NLP or AI field. A passion for continuous learning and keeping abreast of the latest developments in NLP and Generative AI will further enhance your contributions to our team at Aria Intelligent Solutions.,

You will be responsible for building, improving, and extending NLP capabilities. Your tasks will include selecting proper annotated datasets for supervised learning techniques, using effective text representation techniques to develop useful features, identifying and utilizing correct algorithms for specific NLP projects, developing NLP projects as per prescribed requirements, training developed NLP models, and evaluating their effectiveness. Additionally, you will conduct statistical analyses of models, adjust models where necessary, and extend machine learning frameworks and libraries for NLP projects. The ideal candidate should have 2-4 years of experience in Analytics and Machine Learning & Deep Learning, including expertise in areas such as Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU), and Natural Language Generation (NLG). You are expected to possess good experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries like BeautifulSoup. Knowledge of advanced scraping techniques such as overcoming captcha, proxy, browser fingerprinting, and bot detection bypassing is preferred. You should have a working knowledge of various databases like MySQL, HBase, MongoDB, message queues, and Web RestFul APIs. Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, Gensim, LingPipe, Keras, TensorFlow, Mallet, ML/math toolkits like scikit-learn, MLlib, Theano, NumPy, etc., is essential. Experience in testing and deployment of machine learning/deep learning projects on the desired platform is required. Strong logical and analytical skills along with good soft and communication skills are desired qualities. Desirable certifications for this role include Google Tensor Flow, Hadoop, Python, PySpark, SQL, and R.,

As an ideal candidate for this role, you should have experience working with machine learning and deep learning models in MATLAB. You should also have a track record of prior research publications that involved MATLAB-based analysis. It is important to have familiarity with integrating MATLAB with IoT, robotics, or biomedical applications. Your expertise should enable you to convert complex research problems into MATLAB-based solutions. Additionally, knowledge of numerical methods, mathematical modeling, and scientific computing will be essential for success in this position. This is a full-time job opportunity with benefits including Provident Fund. The work schedule is during the day shift, and there is a performance bonus offered. The work location for this role is in person. If you meet the requirements mentioned above and are passionate about working with MATLAB in research and analysis, this position could be an exciting opportunity for you.,

We are seeking a highly motivated AI Engineer with a solid background in artificial intelligence and practical experience in developing AI-driven products. As an AI Engineer, you will play a key role in the design, development, and deployment of AI models and solutions that enhance our range of products and services. This position is particularly well-suited for recent graduates who have gained hands-on experience through internships, academic projects, or previous roles in the AI field. Your responsibilities will include designing, optimizing, and implementing machine learning (ML) and deep learning (DL) models to enhance AI-powered applications. You will collaborate closely with data scientists and software engineers to gather, preprocess, and analyze large datasets for AI training and inference. Additionally, you will be involved in fine-tuning AI algorithms for various tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics. Ensuring the scalability, efficiency, and reliability of AI models in production environments will be a critical aspect of your role. You will work collaboratively with cross-functional teams to seamlessly integrate AI solutions into our products and business processes. Staying abreast of the latest advancements in AI, ML, and deep learning will be essential, and you will be expected to write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks. Your involvement in model evaluation and consultation with other teams to assist the CEO of the unit will be pivotal in driving the success of our AI initiatives. Requirements: - Bachelor's or Master's degree in Artificial Intelligence, Data Science, or equivalent experience of at least 5 years. - Proficiency in Python and familiarity with SQL and JavaScript. - Experience with Agentic AI. - Knowledge of cloud platforms such as AWS, Azure, Google Cloud, and MLOps tools. - Understanding of data structures, algorithms, and software engineering principles, including prototyping. - Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. - Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. - Familiarity with LLMs and tools like openAI, Deepseek for AI applications. - Experience in building presentations and consulting. Preferred Qualifications: - Practical experience with real-world AI applications, whether through internships, research, or personal projects. - Familiarity with version control systems (Git), CI/CD pipelines, and containerization (Docker, Kubernetes). What We Offer: - Competitive Salary and Bonus to acknowledge your expertise and contributions. - Hybrid work environment allowing for a mix of remote work and in-office collaboration. - Inclusive Onboarding Experience tailored to set you up for success from day one. - Marcura Wellness Zone to support your work-life balance and overall well-being. - Global Opportunities within our ambitious and expanding company. - Monthly Performance Support through our modern performance management framework. - Diverse, Supportive Work Culture committed to inclusion, diversity, and belonging for all team members. If you are passionate about AI and excited to apply your skills to real-world maritime challenges, we encourage you to apply and join our innovative AI team. Your expertise and dedication will play a crucial role in shaping the future of our AI-driven products and services.,

Qualcomm India Private Limited is seeking a RF and Mixed-Signal Bench Characterization Engineer to join the BDC Post Silicon Engineering group. As part of this group, you will be responsible for developing test solutions for the design verification of highly integrated Receivers/Transmitters/Transceivers, Power management, Analog and Mixed signal ASICs designed by QCT. Your role will involve implementing new test methodologies, conducting device verification and characterization, designing and debugging test interface hardware, test automation, and data analysis. To be eligible for this position, you should hold a Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field with at least 2 years of Hardware Engineering experience. Alternatively, a Master's degree with 1 year of related work experience or a PhD in a relevant field is also acceptable. The ideal candidate should possess solid software skills for writing and debugging test automation code. Competency in automation development using at least one automation tool such as C#, LabVIEW, Test Stand, or Python is required. You will be responsible for developing software solutions using OOPs principles to interface with RF hardware, ensuring seamless integration and functionality. Additionally, conducting rigorous testing and validation of the automation framework to meet industry standards and performance requirements is crucial. It is important to work closely with cross-functional teams to ensure cohesive system design and implementation. Familiarity with AI/ML algorithms, understanding of deep learning concepts, and expertise in developing test automation through remote control of instruments are advantageous. A solid understanding of Electronics engineering fundamentals, Mixed-signal and RF circuit analysis techniques, and knowledge of measurement techniques such as Harmonics, EVM, IP3, and Noise Figure are desired. Hands-on experience with Lab equipment like Spectrum analyzer, Signal Generator, Network Analyzer, and Digitizer is a plus. The successful candidate should be able to work independently with initiative through challenges, technical or otherwise, communicate clearly, organize effectively, and document work thoroughly while collaborating with local and global teams. Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact disability-accommodations@qualcomm.com or Qualcomm's toll-free number. Qualcomm expects its employees to adhere to all applicable policies and procedures, including security and confidentiality requirements. If you meet the education requirements, have at least 3 years of experience, and possess key skills in C#, RF Post Silicon Validation, LabVIEW, TestStand, Python, Test Automation, RF, Mixed Signal, Analog, Bench Characterization, AI, and ML, we encourage you to apply for this exciting opportunity at Qualcomm India Private Limited.,

As the AI Model Development & Deployment Lead, your primary responsibility will be to design and implement cutting-edge computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. You should have expertise in architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for in-depth image and video analysis. It will be crucial to contextualize the models for challenging scenarios like poor detection due to occlusion or small, fast-moving objects by training them on diverse situations. Your role will involve identifying reasons for suboptimal model performance and developing a scalable computer vision layer adaptable to different environments. Collaborating with data scientists using frameworks like TensorFlow and Pytorch, you will drive impact across key KPIs and optimize models for real-time inference through techniques such as quantization, pruning, and model distillation. In the realm of Reinforcement Learning & Model Explainability, you will be tasked with developing and integrating reinforcement learning models to enhance decision-making in dynamic AI environments. This will involve working with Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), A3C, SAC, and other RL techniques. Furthermore, you will explore explainability methods such as SHAP, LIME, and Grad-CAM to ensure transparency and interpretability of AI-driven decisions. Additionally, engineering context-aware features from video sequences to extract temporal and spatial insights for improved model explainability and decision accuracy will be part of your responsibilities. Leading the charge in creating a Scalable Data Model for AI Model Training Pipelines, you will oversee the end-to-end data preparation process, including data gathering, annotation, and quality review before training data utilization. The focus will be on enhancing the quality and volume of training data continuously to boost model performance iteratively. Your expertise in planning the data model for future scalability, with the ability to incorporate new data elements in a modular manner, will be essential. Key Technical Skills required for this role include a proven track record in delivering AI products, hands-on experience with advanced AI models, proficiency in managing and mentoring a small team of data scientists, expertise in AI/ML frameworks like TensorFlow, PyTorch, and Keras, effective collaboration with cross-functional teams, and strong problem-solving skills in image and video processing challenges. Nice to have skills include a mindset for experimentation, iterative improvement, and testing to enhance model performance continually, staying updated with the latest AI research, and balancing experimentation with timely product delivery. Collaboration with engineering and product teams to align AI solutions with product goals and deployment of AI models into production are crucial aspects. Additionally, leadership in guiding and mentoring a team of AI scientists, taking ownership of product KPIs related to AI models, and fostering an AI-first culture focused on innovation and continuous improvement will be part of your role.,

Vaibhav Global Ltd (VGL) is a renowned electronic deep discount retailer of fashion jewelry, gemstones, and lifestyle products, with operations in the US, UK, Germany, and Canada. The company caters to today's customers" demand for convenience through its 24/7 TV shopping channels, websites, mobile apps, OTT platforms, and social media, reaching nearly 124 million households across multiple countries. As digital retail grows, VGL's omni-channel strategy will continue to evolve to meet the changing market demands. In terms of financials, VGL reported a turnover of approximately Rs. 3,041 Crore in FY 2023-2024 and employs over 3800 people globally, with the main manufacturing facility located in Jaipur, India. The company recently made strategic acquisitions to enhance its digital business capabilities, such as acquiring Mindful Souls B.V. and Ideal World. VGL is dedicated to environmental and social responsibility, implementing sustainable business practices and renewable energy initiatives. The company's commitment to giving back is evident through initiatives like "Your Purchase Feeds." which has provided millions of meals to school children in India, the US, and the UK. VGL also encourages employee participation in charitable causes and holds a Great Place to Work certification. Shop LC and TJC are key subsidiaries of VGL, operating in the US and UK, respectively. Shop LC ships thousands of products daily to US customers, while TJC serves the UK market with live broadcasts and e-commerce. Shop LC Germany is a new market with substantial growth potential, launched in 2021 from Dusseldorf. The company's purpose is centered around "Delivering joy", with a vision to be the Value Leader in Electronic Retailing. VGL's mission includes delivering meals to children in need through their "your purchase feeds." program. The core values of the organization include teamwork, honesty, commitment, passion, and a positive attitude. Currently, VGL is looking for an AI Intern to join the IT team and assist in developing and implementing AI-driven solutions. The intern will be involved in designing ML models, supporting automation projects, analyzing datasets, working on chatbots and predictive analytics, and implementing the latest AI advancements in IT infrastructure. Collaboration with cross-functional teams and documenting AI models and recommendations are also key responsibilities for the role. The ideal candidate for this position should be pursuing or have recently completed a degree in Computer Science, AI, Data Science, or related fields. Strong programming skills in Python, SQL, and AI/ML frameworks, as well as an understanding of AI concepts like NLP, deep learning, and computer vision, are required. Experience with data preprocessing, cloud platforms, and excellent problem-solving skills are also desirable for this role.,