1380 Deep Learning Jobs - Page 8

Responsibilities: * Design vision systems using OpenCV & Deep Learning with PyTorch * Develop image processing algorithms for sensor data analysis * Collaborate on computer vision projects from concept to implementation

Naresh IT KPHB & Ameerpet branches are hiring for an experienced Data Science trainers. Candidates Should have a good knowledge of Machine learning , Deep Learning , R Programming; Python, Statistics, Hadoop etc. Mandatory to have training experience Required Candidate profile Training experience is mandatory.

About Aplazo Aplazo is a fast-growing BNPL fintech startup redefining financial access for Mexicos underbanked population. Unlike traditional models, Aplazo serves as a cash alternative , enabling users to split payments online and in-store without a credit card empowering millions with greater financial freedom. With 40% of users lacking credit history , our AI-powered platform reduces credit risk and enables responsible lending. Over 50% of transactions occur in physical stores , proving our deep offline reach in a market where e-commerce remains limited. Backed by $110M in funding (including a recent $70M Series B ), Aplazo is rapidly scaling, helping merchants increase basket size, conversions, and customer loyalty through a tech-first approach . We're building Latin Americas most beloved fintech—one inclusive transaction at a time. Aplazo Story in Techcrunch : https://techcrunch.com/2024/05/13/aplazo/ About ML & AI Labs At Aplazo, our ML & AI team is central to driving innovation and business impact . We tackle high-stakes challenges across domains like risk, payments, personalization, growth, underwriting, fraud detection, and customer experience . Our team has built state-of-the-art credit risk and fraud models , leveraging alternative data and deep learning to serve Mexico’s underbanked population. With robust MLOps infrastructure —including automated CI/CD, model versioning, and real-time monitoring—we ensure scalable, reliable, and high-performing AI solutions. We’ve developed advanced recommendation systems, activation models, and dynamic pricing engines that significantly improve user engagement, marketing efficiency, and CAC optimization . Our work supports key business functions across the customer lifecycle. Highlights & Impact Lowest fraud rate in LATAM , powered by real-time ML inferencing Alternative data lending to drive inclusion for users with no credit history Reinforcement learning for personalized credit limit management Dynamic risk-based pricing to boost customer conversions End-to-end recommendation engine to tailor every user touchpoint Key Responsibilities Work closely with Growth, B2C product, Marketing, Sales, and Engineering teams to identify and prioritize data science projects. Translate complex data insights into actionable for non-technical stakeholders. Create and maintain a roadmap for data science projects that support growth objectives and ensure alignment with company goals. Define the vision for data science initiatives related to customer science, marketing science, and conversational AI for better customer acquisition, engagement, satisfaction, and retention. Promote an AI-first culture within the organization by advocating for the use of data in decision-making processes. Evaluate and integrate cutting-edge technologies and methodologies to keep Aplazo at the forefront of innovation. Understand the end-to-end ML pipeline (data gathering to production). Conduct Data Analyses; your analyses will decide which policies we adopt, where we expand our business, and with whom we partner. Represent Aplazo in industry conferences, webinars, and other public forums. Required Qualifications: Experience: Experience in AI-customer, especially in B2C (Business-to-Consumer), marketing, customer support, and customer growth relevant experience. Experience in developing cutting-edge customer science models for comprehensive customer personalisation, segmentation, rewards and referral systems, conversational AI, and recommendation engines. Experience designing and implementing strategies to enhance customer personalisation to improve customer engagement and retention. a proven track record of developing personalised customer experiences through data analytics and predictive modeling. Experience in growth hacking strategies to drive user acquisition and engagement using AI. Experience with CDPs and leveraging them to unify customer data from various sources for better insights and personalised experiences. Successful implementation of A/B testing, user segmentation, and personalisation to optimise marketing campaigns and marketing effectiveness. Experience working in highly dynamic work environments with a steep learning curve. Experience in statistical modeling, machine learning, data mining, unstructured data analytics, and natural language processing. Sound understanding of - Bayesian Modeling, Classification Models, Cluster Analysis, Neural Networks, Nonparametric Methods, Multivariate Statistics, etc. Leveraging innovation in applying AI to improve customer experiences, including experimenting with emerging technologies and methodologies. Years of experience: 6-12 years of experience in the technology sector, with a significant portion spent working directly with AI/ML technologies. Experience in leading and managing AI/ML projects and teams. Experience working with clients or customers in a leadership capacity, ideally in AI-focused roles. Technical skills: Python programming skill is a must. Strong coding capabilities in ML and Deep learning. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services (e.g., SageMaker, Azure ML, Google AI Platform). Proficiency in project management tools (e.g., Jira, Trello) and agile methodologies (e.g., Scrum, Kanban) to manage AI projects effectively. Familiarity with database queries and data analysis processes. Expertise in NLP techniques and familiarity with tools and libraries like BERT, GPT, spaCy, and NLTK. Experience with various ML/DL algorithms and techniques. Ability to stay updated with the latest research in GenAI and deep learning. Soft skills: Proven leadership experience, including team building, mentoring, and managing cross-functional teams. Strong project management skills with experience in Agile and Scrum methodologies. Excellent verbal and written communication skills. Ability to explain complex technical concepts to non-technical stakeholders and customers. Strategic Thinking: Ability to align AI strategies with business goals and customer needs. Detail-oriented, with the ability to work both independently and collaboratively.

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns.

Job Purpose This role includes designing and building AI/ML products at scale to improve customer Understanding & Sentiment analysis, recommend customer requirements, recommend optimal inputs, Improve efficiency of Process. This role will collaborate with product owners and business owners. Key Responsibilities Leading a team of junior and experienced data scientists Lead and participate in end-to-end ML projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions. Push the state of the art in terms of the application of data mining, visualization, predictive modelling, statistics, trend analysis, and other data analysis techniques to solve complex business problems including lead classification, recommender systems, product life-cycle modelling, Design Optimization problems, Product cost & weigh optimization problems. Leverage and enhance applications utilizing NLP, LLM, OCR, image based models and Deep Learning Neural networks for use cases including text mining, speech and object recognition Identify future development needs, advance new emerging ML and AI technology, and set the strategy for the data science team Cultivate a product-centric, results-driven data science organization Write production ready code and deploy real time ML models; expose ML outputs through APIs Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation Provide leadership to establish world-class ML lifecycle management processes Job Requirements Qualifications MTech / BE / BTech / MSc in CS or Stats or Maths Experience Over 10 years of Applied Machine learning experience in the fields of Machine Learning, Statistical Modelling, Predictive Modelling, Text Mining, Natural Language Processing (NLP), LLM, OCR, Image based models, Deep learning and Optimization Expert Python Programmer: SQL, C#, extremely proficient with the SciPy stack (e.g. numpy, pandas, sci-kit learn, matplotlib) Proficiency in work with open source deep learning platforms like TensorFlow, Keras, Pytorch Knowledge of the Big Data Ecosystem: (Apache Spark, Hadoop, Hive, EMR, MapReduce) Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow) Functional Competencies A demonstrated ability to mentor junior data scientists and proven experience in collaborative work environments with external customers Proficient in communicating technical findings to non-technical stakeholders Holding routine peer code review of ML work done by the team Experience in leading and / or collaborating with small to midsized teams Experienced in building scalable / highly available distribute systems in production Experienced in ML lifecycle mgmt. and ML Ops tools & frameworks

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem We are a leader in fleet safety solutions With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth, About Netradyne Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry Netradynes technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways?even off-road, Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries, Role And Responsibilities You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productizing generative AI and deep learning solutions, You will: Design, develop and deploy production ready scalable solutions that utilizes GenAI, Traditional ML models, Data science and ETL pipelines Collaborate with cross-functional teams to integrate AI-driven solutions into business operations, Build and enhance frameworks for automation, data processing, and model deployment, Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions, Conduct research and stay updated with the latest advancements in generative AI and related technologies, Deliver key product features within cloud analytics, Requirements: Tech, M Tech or PhD in computer science, electrical engineering, statistics or math, At least 5 years of working experience in data science, computer vision, or related domain, Proven experience with building and deploying generative AI solutions, Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP, Experience with Gen-AI tools and workflows, Proficiency in both vision-related AI and data analysis using generative AI, Experience with cloud platforms and deploying models at scale, Experience with transformer architectures and large language models (LLMs), Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face, Proven leadership and team management skills, Desired skills: Working experience with AWS, Azure AI tools is a plus, Technologies such as: Kafka streams, Queues, Rest API systems, Programing language: Python, SQL, C++ (good to have) Tools: Pytorch, FastAPI, MLFlow, Hugging face pipelines, Langgraph, OpenAI Knowledge of best practices in software development, including version control, testing, and continuous integration We are committed to an inclusive and diverse team Netradyne is an equal-opportunity employer We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status, If there is a match between your experiences/skills and the Company's needs, we will contact you directly, Netradyne is an equal-opportunity employer, Applicants only Recruiting agencies do not contact, Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers Scammers may present themselves to job seekers as Netradyne employees or recruiters Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind Official communication about your application will only come from emails ending in ?@netradyne,or ?@us-greenhouse-mail io, Please review and apply to our available job openings at Netradyne,/company/careers For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website,

Position: AI Engineer Computer Vision & Deep Learning Location: Work From Office Hyderabad Hiring an AI Engineer having 5+ years of hands-on experience in AI, Machine Learning, and Computer Vision technologies. InovarTech is a dynamic and innovative IT service and consulting company dedicated to providing cutting-edge solutions to our clients. With a focus on excellence, collaboration, and continuous improvement, we are committed to delivering superior results and fostering a positive and inclusive work environment. We are seeking a skilled AI Engineer with 5+ years of expertise in Computer Vision and Deep Learning. The ideal candidate will have a strong track record of building innovative, production-ready AI solutions. Proficiency in developing robust ML models and applying modern AI frameworks is essential. Responsibilities: Strong hands-on experience in Python programming. Proven expertise with PyTorch and TensorFlow frameworks. Experience working with NumPy, Pandas and OpenCV libraries. Solid understanding and hands-on experience in Computer Vision and Image Processing (SIFT, SURF). Expertise in designing and implementing Neural Networks, including CNN architectures such as ResNet, YOLO or VGG. Proficiency in RNN, RCNN, LSTM or GRU models for sequence-based data. Experience in Video Analysis techniques and solutions. Ability to preprocess, clean, and manipulate large volumes of unstructured image/video data. Experience in training, fine-tuning, and deploying deep learning models. Understanding of model evaluation, hyperparameter tuning, and optimization techniques. Excellent problem-solving skills and ability to translate business problems into AI/ML solutions. Familiarity with cloud platforms and deployment of AI models will be a plus. Strong communication and presentation skills. Ability to collaborate and drive discussions with internal teams and clients. Requirements: Hands-on experience in building and deploying AI/ML solutions. Experience with Computer Vision tasks such as object detection, classification, segmentation, and tracking. Proficiency in model optimization for real-time applications. Good understanding of Machine Learning lifecycle and MLOps. Ability to write clean, modular, and scalable code. Should be willing to learn and adopt new AI technologies as per project needs. Experience supporting global clients/working with international teams is a plus. Should be willing to travel abroad based on customer requirements. Ability to mentor junior members in the team. Additional Information: Competitive salary and performance-related bonuses. Comprehensive health and accident insurance plans. Professional development opportunities. Flexible work arrangements. 5-day work week. Fun and inclusive company culture.

As an Senior Automation Analyst, you will have the unique opportunity to influence and drive decisions with an advanced logical mindset, process oriented and a background in leveraging technologies to drive results. Provides primary support for assigned systems and applications. Works independently with limited support. Prior Experience in Healthcare domain will be an added advantage. Excellent interpersonal & competent analytical skills. Strong team player attitude to deliver necessary requirements on time and ability to work through obstacles under challenging circumstances. Should be able to work in shifts as required by the project. Be self-motivated and eager to engage in high impact, challenging engineering problems while continuously raising the standard of quality in our products and services. Willing to adapt new technologies and skills in automation. Key Responsibilities: Analyzes the business processes and assessing the automation potentials. Expertise in end-to-end development of bots and implementing the full life cycle of process automation solutions: identify automation opportunities, designing solutions, develop, test, & deploy using RPA, Chatbot, IDP, Test automation and etc... Expertise in designing and implementing intelligent automation solution using Machine Learning, Deep Learning, Python etc. Ability to build reusable components which can be shared and used across different projects to save efforts. Responsibilities to set a strategic direction for automation and managing day-to-day operations, establish high performing service delivery organization. Collaborates with others on the project to brainstorm and finding efficient ways to tackle technical, infrastructure, security, or development problem. Plans and accompanies the smooth transition from project to stable operations from a technical perspective, Demonstrate technical leadership with incident handling and troubleshooting. Ensures adequate technical project documentation. Develops automation portfolio gathering requirements from the functions / cross-functions. Actively manages and monitors the overall project schedule and milestones. Coordinates tasks and communication both within and outside of the project team, ensuring communication with all relevant stakeholders. Pro-actively assesses and mitigates project risks. Ability to familiarize himself / herself independently with entirely new subjects and thus provide comprehensive and innovative solutions. Minimum Qualifications: Minimum of 6+years of experience working with UiPath. Minimum 6 years of Experience with automation technologies like UiPath's RPA, Automation Hub, Process Mining, Insights, Document Understanding, AI Center, Action Center, RASA framework, AI/ML,NLP, Microsoft's Powerautomate and etc. Experience in UiPath's test automation solutions. Experience of development in agile methodology and following best practices. Experience in Project tracking and Defect Management tools such as JIRA, HP ALM and etc. Experience in one of the standard scripting languages such as Python,.NET, PL/SQL and etc. Experience in managing and maintaining applications hosted on cloud. Debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve problems. Working knowledge of information security and best practices. Service Delivery Management mindset. Minimum of Bachelors degree or similar degree applicable experience within information systems. Excellent written and verbal communications skills. Preferred Qualifications: Experience in building dashboards and aggregating metrics. Experience building GenAI & RAG solution using Azure OpenAI. Flexibility to adopt to new technologies and drive initiatives to integrate these technologies with existing platform/technologies available. Exposure to working with RASA or other chatbot technologies. Exposure to large-scale systems and application architectures. Experience in creating and managing technical documents. Experience in GxP process will be an added advantage. Linux and Windows scripting (BASH and Powershell). Working knowledge of Network Topology and communications protocols e.g. TCP/IP, Telnet, SMTP, FTP. General DevOps automation, build, deployment, configuration of multiple environments.

Attend to Technical Calls inbound from customers on breakdown of system on site. Troubleshooting system issues/error/alert & alarm with sound understanding for maintenance of system/IP with logical and technical skills relevant to Lab Water Solution Product portfolio and significant water filtration knowledge. Inform inhouse for urgent clinical customer support in-site where priority dwells on critical scenario (as hospitals and GSA). Handle Work Order processed by Partners in Field (Field Service Engineers) on relevant fields necessary before closing the WO as valid for billing and unbilled covered task carried out in site. Push Billable Repair Quotes for scheduled Repair on system as they possess potential of an order. Chase Billable Work Order for payment to close before billing cycle. Renewal follow-up of Service contract as they provide ease of repair when maintained periodically by inhouse wrt subscriptions. With the above scope of responsibility, managing workflow of transactional activity. Creating effective communication on process during BCP and internal resource availability. Completing task within SLA agreed timeline and quality metrics and service objectives. Creating critical review on non GXP activities. Implementing changes aligned to change management and strategic requirements. Who You are: years of experience Strong Communication, technical knowledge on instrumentation and equipment, call handing, customer handling, troubleshooting of instrumentation. Preferred Requirements: Power BI, basic AI, teamwork. Problem solving. Stakeholder management.

Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in DS Concepts & GenAI. You will play a key role in lead and manage the projects for developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Data Science & Analytics Contribute to the development of machine learning models, statistical analyses, and AI solutions. Review and validate models for accuracy, scalability, and business relevance. Ensure best practices in data preprocessing, feature engineering, and model evaluation. Stay updated with the latest advancements in data science, ML, and AI technologies. GenAI & Agentic AI (Good to have) Good knowledge of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), GenAI models and Agentic AI frameworks Implement Agentic AI systems that can autonomously perform tasks, reason, and adapt Lead projects involving text generation, chatbots, synthetic data creation, and AI-driven works Project & Team Management: Manage data science projects, ensuring timely delivery and alignment with business goals. Coordinate between data scientists, engineers, and business stakeholders to define project requirements. Track project progress, identify risks, and propose mitigation strategies. Support the hiring, onboarding, and mentoring of junior data scientists. Tools & Technologies: Evaluate and recommend data science tools, platforms, and libraries. Assist in managing cloud-based ML environments (AWS, Azure, GCP) or on-prem solutions. Support MLOps processes for model deployment and monitoring. Skills: Strong working experience in Python/R, SQL, Data Science libraries (Pandas, NumPy, Scikit-learn, etc), ML frameworks (TensorFlow, PyTorch, etc) Familiar with big data tools (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP). Knowledge of MLOps, CI/CD pipelines, and model deployment. Proficiency in data visualization (PowerBI/Tableau, Matplotlib/Seaborn). Excellent Communication, Leadership, and Problem-solving skills. Bachelors/Master’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or related fields. Hands-on Data Science project experience is a must and Data Science/AI Certifications will be a huge plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background in AI/ML technologies Excellent leadership and communication skills Ability to collaborate with cross-functional teams Experience in the healthcare IT industry is a plus Master's degree in Computer Science or related field Education qualification Master in Computer Science or equivalent Experience range 10 years with 3 4 year in AI/ML Mandatory skills, domain etc Please submit your resume along with a cover letter highlighting your relevant experience and skills & other details like Current CTC (fixed plus variable) Offer in hand (fixed plus variable) Expected CTC Notice period Current Location Open to work from office at Gurgaon Experience in Healthcare domain( good to have) Hands on experience and self rating in the scale of 10 , 10 being the maximum 1. GenAI 2. Predictive AI 3. LLM 4. DL 5. NLP 6. Computer vision/ Assuring you of the best assistance in search of the right career opportunity Thanks & Regards, Surender Intelli Search Services Pvt Ltd, Email: sp@intellisearchonline.net Mobile: 9590270707

Hi All, We are hiring an Machine Learning Engineer for MNC Company AI/ML Engineer Experience- 9- 14 Years Location- Bangalore/Hyderabad/Mumbai/Kolkata Work Mode- Hybrid Mode Interview Mode- Virtual Notice Period- Immediate Joiner Job Description: - Skills- ML Engineer (Advanced AI/ML + Python)- C2/D1 This role leverages machine learning & advanced AI services to generate business insights • 8+ Years of relevant experience in Machine learning & Deep learning (GenAI-optional) experience • Experience in deploying NLP, CV & Deep learning algorithms • Experience in leading teams and managing the end-to-end deliverables. Exposure to MLOps implementations • Leadership abilities to guide and mentor junior team members. • Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment • Advanced degree in Data Science, Statistics, Computer Science, or a related field. • Proficiency in Python, Git, Github,Pyspark, Pytorch, , SQL and strong expertise of AI/ML algorithms is essential with knowledge of AWS cloud ML services. • Strong analytical skills & communication skills. Ability to interpret complex data sets. Responsibilities- Lead the development and implementation of predictive models and machine learning algorithms. • Design and implement scalable and reliable ML pipelines for model training, evaluation and deployment • Collaborate with CMA CGM cross-functional teams to understand business needs and devise possible solutions. • Present and visualize data insights to stakeholders in a comprehensible manner. If Anyone intertested for this position plesase share your Resume on this Mail id- Priya.singhal@thehrsolutions.in Regards & Thanks Priya Singhal

As an Applied AI Engineer, you will work at the intersection of AI research and practical implementation. You will develop machine learning (ML) and deep learning (DL) models, integrate them into our SaaS platform, and optimize them for scalability, performance, and business impact. Key Responsibilities: Data Engineering & Feature Engineering: Work with structured and unstructured data to build high-quality datasets. Develop robust feature engineering pipelines to improve model accuracy. Implement data preprocessing and augmentation techniques. MLOps & AI Infrastructure: Build and maintain ML pipelines for continuous integration and deployment (CI/CD). Implement model monitoring, retraining, and performance tracking frameworks. Work with cloud platforms (AWS, GCP, Azure) for AI model deployment and scaling. AI Integration in SaaS Applications: Collaborate with software engineers to integrate AI models into customer-facing SaaS products. Develop APIs and microservices for seamless AI-powered functionalities. Optimize inference performance for real-time and batch processing scenarios. Collaboration & Research: Stay updated with the latest AI research and bring innovative solutions to production. Work closely with product managers, designers, and engineers to align AI capabilities with business goals. Participate in code reviews, knowledge sharing, and AI/ML best practices. Prompt Engineering: Design, develop, and refine AI-generated text prompts for various applications to ensure accuracy, engagement, and relevance Craft and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs Build accessible libraries of prompts, keywords, and syntax guidelines for optimal query results Develop robust evaluation frameworks to assess AI model performance and prompt effectiveness Test and analyze outputs by experimenting with different prompts and measuring against defined metrics Create dashboards and reporting tools to track AI performance across multiple dimensions Apply human judgment to identify gaps in AI-generated output and refine prompts accordingly Implement continuous improvement processes based on evaluation insights What Were Looking For: Experience: 5-6 years in AI/ML engineering, with hands-on experience in Generative AI, NLP and deploying AI solutions at scale. Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python Help assess performance metrics, develop novel agent frameworks, create and oversee data workflows, and conduct extensive testing to deploy innovative capabilities. Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time. Experience with data processing tools (Pandas, NumPy, Spark, Dask). Familiarity with MLOps, CI/CD, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML). AI Deployment & Optimization: Experience with optimizing models for performance, interpretability, and real-time applications. Strong Problem-Solving Skills: Ability to translate business problems into AI-driven solutions. SaaS Experience (Preferred): Understanding of how AI enhances SaaS applications and workflows.

Educational Qualification: Education: Masters or PhD in Computer Science, Machine Learning, AI, Engineering, or a related technical field. Work Experience : Experience: 4-6 years of experience in machine learning based data product research and development in addition to relevant educational background in the field of Computer Science, Engineering, Machine Learning etc. Role Description : We are seeking an AI Scientist to join our analytics team. This role focuses on the development of innovative machine learning and deep learning models that unlock the full potential of Pixxels hyperspectral data. You will work on impactful, data-driven projects aimed at solving complex challenges using state-of-the-art technology and methodologies. As a key contributor to Pixxels analytics vision, you will: Leverage state-of-the-art AI techniques to address complex challenges in imaging analytics, data fusion, and large-scale data processing. Develop multimodal AI models that integrate hyperspectral data with other sensor modalities like radar, LiDAR, and weather datasets, enabling actionable insights for clients across diverse industries. Work closely with cross-functional teams, translating business and scientific objectives into AI-powered solutions that are scalable, efficient, and impactful. Responsibilities & Duties : AI Model Development: Design and implement advanced AI/ML models for classification, prediction, segmentation, and anomaly detection using Pixxels hyperspectral data and multimodal datasets. Multimodal Data Fusion: Integrate diverse data sources, such as hyperspectral, radar, LiDAR, and ancillary datasets, to enhance feature extraction, accuracy, and scalability. Algorithm Optimization: Develop computationally efficient algorithms that can handle large-scale, high-dimensional datasets and deploy them in production environments. R&D Leadership: Research and implement state-of-the-art techniques, including Transformer models, GANs, self-supervised learning, and other emerging techniques, to stay ahead in AI innovation. Cross-Functional Collaboration: Work with domain experts (e.g., hyperspectral scientists, environmental specialists) to understand the data and define project objectives, translating business problems into robust AI models. Communication & Presentation: Clearly explain complex AI concepts, model outputs, and research findings to technical and non-technical stakeholders. Skills and Experience Required: Technical Expertise: Proficiency in advanced machine learning and deep learning architectures (e.g., CNNs, RNNs, Transformers, GANs, LSTMs). Strong background in Python and frameworks such as PyTorch, TensorFlow, or PyTorch Lightning. Experience in developing AI models for complex datasets. Experience with imaging data (e.g., hyperspectral, medical, drone, or satellite imagery), is not required, but would be beneficial. Solid understanding of key principles in multimodal data fusion, computer vision, and large-scale data processing. Communication & Collaboration: Strong communication skills to present findings, teach concepts, and collaborate effectively with non-AI experts. Ability to work cross-functionally with data scientists, engineers, and domain specialists . R&D Mindset: Proven experience in implementing cutting-edge research techniques and staying up-to-date with advancements in AI. Candidate Acumen : As an AI Scientist, I bring expertise in developing advanced machine learning and deep learning models to extract insights from hyperspectral data, leveraging state-of-the-art methodologies to tackle complex, data-driven challenges. Benefits: Comprehensive insurance coverage for you and your family. Free access to mental health professionals and paid sick leave. Benefits like vaccination drives and more. Flexible working hours. Opportunity to work with top scientists and professionals in space technology.

Educational Qualification: Bachelor's degree in Computer Science, Software Engineering, or a related field. Work Experience : 2-4 years of industry experience in building solid software product s. Role Description : As a Senior AI Engineer at Pixxel, you will be instrumental in planning, designing, developing and maintaining cutting edge solutions for AI products leveraging both foundation models and specialized deep learning architectures. Your role will focus on building innovative AI solutions that combine the power of large multimodal models, and AI engineering to extract meaningful insights from satellite imagery. Responsibilities & Duties : Design and develop AI products and features using foundation models (LLMs, vision models) to analyze and interpret satellite imagery data. Write clean, maintainable, and efficient code while following best practices for software development. Prompt Engineering. Planning and delivery of a project with the help of senior folks in the team. Participate in code reviews, providing constructive feedback to team members and ensuring code quality. Document technical specifications, processes, and procedures related to the projects. Contribute to the continuous improvement of development processes, tools, and methodologies. Desirable Skills & Certifications: Bachelors degree in Computer Science or related field. 2+ years of experience in python and AI product development. Strong programming skills in Python and related ML frameworks. Can write scalable python code. Proficient with AsycIO and multiprocessing in python. Design patterns in python. Relational database. REST APIs. Experience with Pytorch or Tensor flow. Basic understanding of Docker and Kubernetes. Prompt engineering. At least 1 years of experience in managing a project/ownership and delivery of a project. (medium complexity). Strong expertise in foundation models applications including Tool calling, RAG(Retrieval-Augmented generation) and Agents architecture. Proven track record of building and deploying AI applications. Experience with large-scale model training and optimization. Familiarity with MLOps and model deployment pipelines. Candidate Acumen : A strong desire to work in an unstructured, high-growth, fast-paced start-up environment Benefits: Health insurance coverage Unlimited leaves & flexible working hours Role-based remote work and work-from-home benefit Relocation assistance

Job Description: AI Engineer (Junior / Associate Level) About the Role We are looking for a passionate and hands-on AI Developer with around 3 years of experience in building and deploying machine learning models and working with the latest AI tools and frameworks. You will be working closely with our data science and engineering teams to develop smart, scalable, and production-ready AI solutions. Key Responsibilities Design, develop, test, and deploy machine learning models for classification, regression, recommendation, or NLP tasks. Work with state-of-the-art AI tools and libraries such as LangChain, Hugging Face, OpenAI, LlamaIndex, etc. Integrate Large Language Models (LLMs) into applications via APIs or custom fine- tuning. Build data pipelines for training and inference, ensuring model performance and robustness. Collaborate with software developers, product managers, and data engineers to turn AI models into usable products. Stay updated with the latest research and innovations in the AI/ML space and bring new ideas into development. Optimize model performance and scale AI solutions for production. Required Skills & Experience Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. 2 to 4 years of hands-on experience in machine learning and deep learning. Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Good understanding of LLMs and experience working with platforms like OpenAI, Claude, Cohere, or Hugging Face Transformers. Experience in prompt engineering, fine-tuning, or using frameworks like LangChain, LlamaIndex, or Haystack. Exposure to cloud platforms (AWS, GCP, Azure) and tools like Docker, Git, CI/CD workflows. Strong analytical and problem-solving skills. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Good to Have Experience building AI chatbots or virtual assistants. Knowledge of Vector databases (e.g., Chroma, Pinecone, Weaviate). Familiarity with MLOps tools like MLflow, Kubeflow, Vertex AI, etc. Experience with RESTful APIs or microservices architecture. Participation in Kaggle competitions or open-source AI projects. What We Offer Opportunity to work on real-world AI applications and products. A collaborative, learning-first environment. Exposure to enterprise-grade AI deployments and tools. Flexible working hours and remote work options. Competitive compensation and career growth path.

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

Job Description AI/ML Engineer We are seeking a sharp, innovative, and passionate AI/ML Engineer to join our R&D team. You will be responsible for designing and deploying intelligent algorithms that enhance the predictive capabilities of our remote diagnostics platform used in railway signaling and other critical infrastructure. Responsibilities: Build and deploy machine learning and deep learning models for predictive maintenance and anomaly detection. Analyze time-series sensor data to develop accurate failure prediction models. Work with massive datasets – cleaning, preprocessing, feature engineering, and model tuning. Develop and expose ML models as REST APIs for integration into cloud-based systems. Collaborate with domain experts, data engineers, and full stack developers to create robust, production-grade solutions. Perform continuous evaluation and improvement of deployed models (MLOps). Stay updated with the latest AI research and evaluate them for real-world application. Required Skills & Qualifications: 2–5 years of experience in AI/ML project development and deployment. Proficiency in Python , Scikit-learn , Pandas , NumPy . Hands-on experience with TensorFlow or PyTorch . Solid understanding of ML algorithms , classification , regression , clustering , NLP , or computer vision . Experience with model deployment , APIs , and Docker . Knowledge of cloud platforms (AWS/GCP/Azure) is a plus. Strong problem-solving skills and understanding of statistical concepts. Nice to Have: Experience with time-series forecasting and anomaly detection. Prior exposure to predictive maintenance in industrial environments. Familiarity with IoT data and sensor networks.

Design, develop, and deploy machine learning models for various use cases (classification, regression, NLP, CV, etc.) Preprocess, clean, and transform large datasets for training and testing Conduct model evaluation, performance tuning, and error analysis Collaborate with data engineers, product managers, and business stakeholders to deliver intelligent solutions Implement and manage scalable ML pipelines using tools like MLflow, Airflow, or Kubeflow Work with cloud platforms such as AWS, Azure, or GCP for model training and deployment Stay updated with the latest advancements in AI/ML technologies and frameworks Roles and Responsibilities Strong programming skills in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Experience with model deployment and MLOps practices Good understanding of data structures, algorithms, and statistics Hands-on experience with cloud platforms (AWS/GCP/Azure) Proficiency in SQL and working with databases/data warehouses Knowledge of Docker/Kubernetes is a plus Excellent problem-solving and communication skills

Role & responsibilities IT developer OJT(On The JOB Training) with AI, Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django & ML/DL Internships are available For NON IT graduates, we will train you in live AI/IOT/Web/Mobile projects of USA startups. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with 2 year Master degree & 3 year degree enrollments. Preferred candidate profile Fast & SLOW self learner programs. Good understanding of Accounting, healthcare and business application exposure is required.

Role & responsibilities Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Preferred candidate profile Bachelor's or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382 supriya @mounttalent.com

Data Scientist Mumbai One of the leading Bank mail at manjeet.kaur@mounttalent.com Whatsapp at 8384077438 Roles and Responsibilities Qualifications • 2-4 years experience in Analytics and Machine Learning & Deep learning(Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU) and Natural Language Generation (NLG)). • Good Experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries (like beautifulsoup). • Knowldge of advanced scraping techniques (like overcoming captcha, proxy, browser fingerprinting, bot detection bypassing,etc) • Working knowledge in various DBs(MySQL, HBase, MongoDB), message queues & Web RestFul APIs. • Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Keras, Tensorflow, Mallet, ML/math toolkits such as scikit-learn, MLlib, Theano, NumPyetc. • Experience of Testing & deployment of Machine learning/deep learning projects in the desired platform. • Strong Logical & Analytical skills with good soft & communication skills Industry Preferably from a Technology, ITES, Shared Services or Banking organization Key Responsibilities • Build, Improve and extend NLP capabilities • Select the proper annotated datasets for supervised learning techniques • Use effective text representation techniques to develop useful features • Identify and utilize the correct algorithms for specific NLP projects • Develop NLP projects in accordance with prescribed requirements • Train developed NLP models and evaluated their effectiveness • Conduct statistical analyses of models, and adjust models where possible • Extend machine learning frameworks and libraries for NLP projects Certifications Certification in Google Tensor Flow, Hadoop, Python, PySpark, SQL, R is desirable Employment Type All positions are on fixed term contract on a full-time basis exclusively for ReBIT, initially for a period of five years, extendable by mutual consent Location Navi Mumba

Role & responsibilities Job location : - Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad Participate in visioning workshop & develop innovative AI strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to AI & Analytics solutions! Develop target strategy with respect to AI & GEN AI needs along with Key initiatives & roadmap. Who are we looking for? Years of Experience: Candidates should typically have at least 5-8 years of experience in AI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing AI strategies for clients across various industries Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382

Job Title: Machine Learning Engineer Job Description: The ideal candidate will have a strong background in applying machine learning to Digital Signal Processing, particularly in audio signal analysis and accelerometer data analysis. This role involves developing innovative ML models, including CNNs, RNNs, and GANs, and leveraging techniques such as LLMs and low-rank adaptation to enhance our product offerings. The successful candidate will also be proficient in MLOps practices and deploying ML models into production environments. Key Responsibilities: Custom ML Model Development: Design and build custom machine learning models from scratch, tailored to specific applications in digital and audio signal processing and accelerometer data analysis. The ideal candidate will have published papers or demonstrable customized models custom-built for specific problem domains. Advanced ML Techniques: Apply advanced machine learning techniques, including time series analysis, CNNs, RNNs, GANs, LLMs, and low-rank adaptation, to solve complex problems in pet wellness technology. Data Analysis and Processing: Perform sophisticated data analysis and preprocessing to prepare datasets for machine learning applications. MLOps and Model Deployment: Implement MLOps practices to streamline the deployment of machine learning models into production, ensuring scalability, performance, and reliability. Performance Optimization: Continuously monitor and optimize ML models to improve accuracy and efficiency. Cross-functional Collaboration: Work closely with product development, engineering, and data science teams to integrate ML models into Hoomanely Inc.'s product ecosystem. Research and Innovation: Stay abreast of the latest developments in machine learning and signal processing to drive innovation within the company. Qualifications: Bachelors/Masters in Engineering in Computer Science, Data Science, Electrical Engineering, or a related field focusing on machine learning. Preferably from a top tier (Tier 1 in India/US - IIT, NIT equivalent) institute. Proven experience building custom ML models for digital signal processing, audio signal analysis, and accelerometer data analysis, with a minimum of 6 years of relevant experience. Strong knowledge of time series-based machine learning, CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques. Experience with MLOps practices and deploying machine learning models in production environments. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python). Excellent analytical, problem-solving, and communication skills. Preferred Skills: Experience in pet wellness or related industries. Familiarity with IoT device data processing and analysis. Knowledge of cloud computing platforms and services for ML deployment. Application Process: Interested candidates should submit a resume, cover letter highlighting their machine learning expertise and specific projects related to signal processing and model deployment, and links to relevant work or publications. The selection process will include technical interviews, a practical machine learning assessment, and discussions on past projects and contributions.