800 Neural Networks Jobs - Page 8

Position Overview As the newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new productsMore towards the role required Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team Required Skills Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Experience in feature selection, building and optimizing classifiers. Experience working with backend technologies such asFlask/Gunicorn etc. Experience on working with open source library such Spacy, NLTK, Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc. Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software

As a Data Scientist at mPokket, you will play a crucial role in deriving valuable insights from raw data to drive business decisions and improve our products. You will collaborate with the data science team, plan projects, and develop analytics models. Your problem-solving skills and expertise in statistical analysis will be key in aligning our data products with our business objectives. Your responsibilities will include overseeing the data scientists team, guiding colleagues on new techniques, and working closely with data and software engineers to deploy scalable technologies. You will lead the conception, planning, and prioritization of data projects, build analytic systems and predictive models, and explore new techniques to enhance our data capabilities. Ensuring that data projects are in line with our organizational goals will be a critical aspect of your role. The minimum qualifications for this position include a Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field, along with at least 6 years of experience in solving analytical problems using quantitative approaches. Proficiency in communicating quantitative analysis results, knowledge of relational databases, SQL, and development experience in scripting languages such as Python, PHP, or Perl are required. You should also have expertise in statistics, experience with statistical software like R or SAS, and a strong technical skill set. Key Technical Skills Required: - Programming: Python (Preferred) / R - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Bagging & Boosting, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS, UCM), Neural Networks, Naive Bayes - Excel and SQL - Dimensionality Reduction: PCA, SVD, etc. - Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm - Cloud: Understanding of Azure / AWS offerings, Setting up ML pipeline on the cloud Additional Skills (Good to have): - Visualization: Tableau, Power BI, Looker, QlikView - Data Management: HDFS, Spark, Advanced Excel - Agile Tools: Azure DevOps, JIRA - Pyspark - Big Data/Hive Database - IDE: Pycharm If you are a proactive and talented individual with a passion for data science and a desire to contribute to a rapidly growing fintech startup, we would love to have you join us on this exciting journey at mPokket.,

As a Data Scientist Associate Manager in the SC&O - S&P I&F Decision Science team at Accenture, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that drive cost-saving opportunities, improve supplier management, and provide valuable business intelligence to our enterprise clients. Your primary roles and responsibilities will include analyzing procurement spend through various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in collecting data from different sources during calls with stakeholders, leading data quality assessments, identifying gaps, and creating summaries as per database requirements. Additionally, you will assist in data scrubbing by developing data cleansing rules and incorporating data clarifications provided by data source owners. To excel in this role, you should have hands-on experience in Python with threading limitations and multi-process architecture. Proficiency in MySQL to integrate multiple data sources is also essential. Furthermore, you should possess strong coding skills in languages such as R, SQL, JavaScript, Java, CSS, and C++. Familiarity with statistical and data mining techniques like GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis is required. Experience with advanced machine learning algorithms and statistics, including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks, will be beneficial. In addition to technical skills, we are looking for candidates with 6-12 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. You should have extensive experience in handling and classifying spend data using AI/ML techniques. Strong leadership, team management skills, proficiency in MS Excel and MS PowerPoint, high attention to detail, accuracy, and innovative problem-solving abilities are also desired. Preferred experience in supply chain management, particularly in applying AI/ML techniques to optimize operations, will be an advantage. Join us at Accenture, where we are committed to driving innovation and delivering exceptional solutions to our clients.,

Schrdinger is a science and technology leader with over 30 years of experience developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses. We are currently looking for an application-focused Materials Informatics & Optoelectronics Scientist to join our team in our mission to enhance human health and quality of life by leveraging advanced computational methods. As a part of our Materials Science team, you will have the opportunity to engage in various projects spanning optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. The ideal candidate for this role will be a statistical and machine learning expert with strong problem-solving abilities. You should also be a materials science enthusiast familiar with RDkit, MatMiner, Dscribe, or other informatics packages. Proficiency in Python programming and debugging, along with knowledge of machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch is essential. Additionally, you should have experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies. Collaboration with an interdisciplinary team in a fast-paced environment should be something you enjoy as a specialist in quantum chemistry or materials science. As a Materials Informatics & Optoelectronics Scientist, your responsibilities will include researching, curating, and analyzing datasets from literature and other sources using advanced techniques such as LLMs and OCR. You will collaborate with domain experts to ensure data accuracy and quality, particularly related to molecular structures, SMILES strings, and experimental measurements. Developing and validating predictive machine learning models for OLED devices and other optoelectronic applications will be a key aspect of your role. Furthermore, you will be expected to communicate results, present ideas to the team, develop tools and workflows for integration into commercial software products, and validate existing Schrdinger machine learning products using public or internally generated datasets. To qualify for this position, you should hold a PhD in Chemistry or Materials Science and possess hands-on experience in applying machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals. Familiarity with LLM, OCR technologies, and dataset extraction for ML model development is also required.,

As a Senior Information Security Engineer at NTT DATA in Bangalore, Karnataka (IN-KA), India, you will be part of a dynamic team that values exceptional, innovative, and passionate individuals who are eager to grow with us. If you are seeking to join an inclusive, adaptable, and forward-thinking organization, this opportunity is for you. You should have a minimum of 5 years of experience in IT Technology, with at least 2 years of hands-on experience in AI / ML, particularly with a strong working knowledge in neural networks. Additionally, you should possess 2+ years of data engineering experience, preferably using tools such as AWS Glue, Cribl, SignalFx, OpenTelemetry, or AWS Lambda. Proficiency in Python coding, including numpy, vectorization, and Tensorflow, is essential. Moreover, you must have 2+ years of experience in leading complex enterprise-wide integration programs as an individual contributor. Preferred qualifications for this role include a background in Mathematics or Physics and technical knowledge in cloud technologies like AWS, Azure, or GCP. Excellent verbal, written, and interpersonal communication skills are highly valued, as well as the ability to deliver strong customer service. NTT DATA is a $30 billion global innovator that serves 75% of the Fortune Global 100. As a Global Top Employer, we have a diverse team of experts in over 50 countries and a robust partner ecosystem. Our services encompass business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. Join us as we continue to lead in digital and AI infrastructure globally and help organizations navigate confidently into the digital future. If you are ready to contribute your skills and expertise to a leading technology services provider, apply now and be a part of our journey towards innovation, optimization, and transformation for long-term success. Visit us at us.nttdata.com to learn more about our organization and the exciting opportunities we offer.,

As a Data Scientist (AI & Machine Learning) at Infosys Finacle, located in Bangalore/Chennai, you will have the opportunity to be a part of transforming banking technology through the power of AI and data science. You will collaborate with top industry leaders to work on cutting-edge AI solutions, propose innovative ideas, and adapt in a fast-paced learning environment. Your responsibilities will include building AI algorithms, designing experiments to extract insights from large datasets, using predictive modeling to enhance customer experiences and achieve business goals, developing Explainable and Responsible AI models, conducting research to create prototypes, and identifying opportunities to apply data science insights across various teams and functions. We are looking for individuals with 2 to 10+ years of experience in data science or analytics, strong analytical and problem-solving skills, proficiency in statistical programming languages like Python and SQL, knowledge of advanced statistical techniques, experience with machine learning algorithms, and the ability to deploy models as APIs. Excellent communication and presentation skills are essential for conveying complex ideas to non-technical stakeholders. If you are ready to make an impact and contribute to the global digital banking transformation, please email your CV and details to sweta.singh09@infosys.com. The interview process consists of 3 rounds: Online Coding Assessment, Technical Round, and Hiring Manager Round. Joining Infosys Finacle means being a part of building core banking platforms for global financial institutions, learning and innovating with industry experts, and contributing to a global digital banking transformation. About Finacle: Finacle is a leading provider of digital banking solutions, partnering with financial institutions to drive better banking experiences. Our cloud-native solution suite and SaaS services enable banks to engage, innovate, operate, and transform effectively. As a business unit of EdgeVerve Systems, a product subsidiary of Infosys, we are committed to helping financial institutions of all sizes achieve digital transformation at speed and scale. For more information, please visit the Finacle website at https://www.edgeverve.com/finacle/solutions/. Please note that EdgeVerve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. If you come across any such scams, please report them immediately.,

Role: AI Solutions Architect - R&D Vacancies: 10 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

As an NLP Lead Data Scientist, you will be building solutions that require analysing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities : Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Train and fine-tune pre-trained NLP models and run evaluation experiments. Perform statistical analysis of results and refine models. Basic logical pseudo code writing. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. Required qualifications: 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow Experience of design, building and deployment of ML/NLP Solutions Proficient in Python & SQL Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Preferred qualifications: Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Firm building: Contribute to firm growth by participating and conducting training sessions. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

JD-Working knowledge of Azure AIWorking knowledge of LLM , RAG Data insights , Reasoning Agent , Chain of thoughtKnowledge of Graph DB , COSMOS DB , Neo4jPrompt engineeringAPI buildingDomain knowledge in Finance , data managementShould have worked on enterprise AI use cases and one go live solution.

Location -HyderabadExperiecne -4-7 Yrs.Skills Required Strong programming skills in Python, Java, SpringBoot, or Scala.Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM.Familiarity with information retrieval techniques (BM25, vector search, learning to rank).Knowledge of embedding models, user/item vectorization, or session based personalization.Experience with large scale distributed systems (e.g., Spark, Kafka, Kubernetes).Hands on experience with real time ML systems.Background in NLP, graph neural networks, or sequence modeling.Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR.

Technical Expertise: Must Have: Experience in Emma orchestration engine is a must Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Hands-on experience with Azure open AI and related tools and services. Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment. Experience: 7 to 10 years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Key Responsibilities: Design, develop, and implement complex Generative AI solutions with high accuracy and for complex use cases. Utilize agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Leverage Azure OpenAI ecosystems and tooling, including training models, advanced prompting, Assistant API, and agent curation. Write efficient, clean, and maintainable Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Fine-tune and optimize AI models for business use cases. Mandatory Competencies Programming Language - Python - Flask Beh - Communication and collaboration

Role Senior Software Engineer (Data Scientist) Educational Qualification: - Bachelor of Technology in Computer Science or related field Years of Experience: 8 - 12 Years Location: - Kochi/ Bangalore (Work from Office) Required Skills 8+ years of software development experience with a minimum of 4 years as a full-time Data Scientist, Machine Learning Researcher, or ML Engineer Strong programming skills in Python and R with experience in libraries like Pandas, NumPy, scikit-learn Hands-on experience with deep learning frameworks: TensorFlow, PyTorch, Keras Solid understanding of various machine learning techniques (e.g., clustering, decision trees, neural networks) Experience in Natural Language Processing (NLP), especially sentiment analysis, entity recognition, and using SpaCy Proficiency with SQL databases and complex queries Proven ability to work independently in fast-paced, start-up-like environments Cloud platform experience (AWS, GCP, or Azure) Specialized AI Skills Experience deploying and fine-tuning Large Language Models (LLMs) Knowledge of Reinforcement Learning techniques Expertise in Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) Experience with audio, video, and image intelligence applications Roles & Responsibilities Design, build, deploy, monitor, and maintain machine learning models Perform feature engineering to identify and calculate valuable input features Clean, analyze, and prepare new data sources for analysis and model input Use data visualization tools to communicate insights effectively across teams Work with Data Engineers to transition models from research to production Optimize model performance using adaptive/incremental ML techniques Align customer/product needs with appropriate modeling or visualization approaches Recommend and implement solutions to improve data quality and reliability Collaborate with the Product Development Team on new feature planning AI-Focused Responsibilities: Deploy and fine-tune LLMs for various business applications Apply reinforcement learning in predictive analytics and decision-making Develop deep learning models for NLP, computer vision, and audio/video analytics Design AI-driven solutions targeting audio, video, and image intelligence

The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: GCP Dialogflow. Experience: 5-8 Years.

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: GCP Dialogflow Experience: 5-8 Years

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locations in Toronto, Canada, and Baroda, India. As a Specialist in Emerging Systems Engineering, you will be expected to possess a solid 3 to 5 years of experience range and be adept at working in areas such as Data Analytics, Computer vision, NLP, and OCR-related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you should have experience in managing digital data extraction and processing, creating training and testing pipelines with diverse data aspects, and developing model architectures from scratch or modifying pre-trained models. The ideal candidate must stay updated with the latest AI trends to ensure operational processes remain current. You will be required to identify opportunities for process enhancements, propose system modifications, and work with minimal technical supervision while efficiently managing multiple program priorities. Collaboration within a team environment is crucial, as you will be tasked with driving cross-team solutions that may have complex dependencies and requirements. Your qualifications should include a B.E./B.Tech in Computer Science/Statistics/IT/ECE stream, with an M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. You should have 3-5 years of hands-on experience in data science, machine learning, and deep learning, along with proficiency in C/C++/Java/Python for developing machine learning and deep learning solutions. Experience in building and deploying Machine Learning solutions using various supervised and unsupervised ML algorithms is essential. Moreover, you should have at least 3-5 years of practical experience with Python and frameworks such as TensorFlow, PyTorch, or MXnet. A good command of ML libraries like scikit-learn, NumPy, pandas, and Keras, as well as natural language processing using NLTK, spaCy, and Gensim, is required. Strong communication and interpersonal skills, familiarity with decision science tools and techniques, excellent problem-solving abilities, and the capacity to work efficiently in a fast-paced, deadline-driven environment are all highly valued in this role. Demonstrating a strong work ethic, a sense of collaboration, and ownership is imperative for success within the organization.,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

You will be joining InnovaESI as a ML Engineer/Data Scientist in Bengaluru, in a full-time hybrid role. Your responsibilities will include working on pattern recognition, neural networks, algorithms, and utilizing statistical methods to deliver comprehensive data solutions. While your primary location will be in Bengaluru, there is also flexibility for remote work. To excel in this role, you should have a strong background in Computer Science and Algorithms, proficiency in Pattern Recognition and Neural Networks, knowledge of Statistics and its application in data analysis, as well as experience working with complex algorithms and data models. Collaborating effectively in cross-functional teams and possessing advanced degrees in Computer Science, Data Science, or related fields are also essential qualifications. Additionally, a deep understanding of machine learning and NLP, coupled with commercial experience in building and deploying LLM solutions, will be beneficial. You should have 4-8 years of relevant experience, exceptional coding abilities (preferably in Python), and familiarity with ML tools and libraries like TensorFlow, PyTorch, pandas, scikit-learn, among others. Furthermore, a strong understanding of MLOps best practices with experience in deploying LLM applications to production at scale is required. Being a problem solver and self-starter is key; you should enjoy tackling challenging problems independently and within a collaborative team environment. Strong communication skills to explain complex technical concepts to non-technical stakeholders are also crucial. If you are passionate about leveraging your expertise in ML and data science to drive digital transformation, we encourage you to share your resume with us at jaya.sharma@innovaesi.com.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company, you will play a crucial role in designing and developing advanced systems for video data processing and analysis. You will be part of a team that excels in creating innovative solutions using computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Join our team in Vadodara, Gujarat, and be a part of our internal Computer Vision/Video Analytics team. This team focuses on applied research and is essential in deploying perception algorithms across our products. You will be involved in the entire product lifecycle - from ideation to deployment, giving you the opportunity to witness the impact of your work firsthand. With a minimum of 2 years of experience and a qualification in B.E/B.tech/M.E/M.tech in relevant fields, you should have good experience in Deep Learning/Computer Vision projects. Your technical skills should include working with Neural networks, CNN, deep learning frameworks such as TensorFlow, PyTorch, or Keras, and optimizing models for different hardware platforms. You will lead in the creation of systems, algorithms, and optimizations for all things computer vision. Your day-to-day activities may include designing and implementing algorithms, integrating video analytics solutions, collaborating with cross-functional teams, troubleshooting issues, and researching new technologies to enhance video analytics capabilities. Join us and be part of an Indian Tech Company that is creating innovative products for the world, right from India. Enjoy a competitive salary, generous leave schedule, company-paid medical insurance for the whole family, and a rewarding work environment that encourages you to do your best work. If you are a dynamic and solution-driven Software Engineer with a passion for technology and innovation, this is the opportunity for you. Join us and be a part of a challenging yet encouraging environment where you can unleash your potential and make a real impact.,

You will be joining a Pune based startup as an AI Research Specialist. Your primary responsibility will involve conducting thorough research on emerging AI models, analyzing their potential integration with our system, and providing expert advice on optimizing model performance. Your key responsibilities will include monitoring and analyzing new AI models entering the market, assessing the applicability of emerging models to our AI agent system, providing insights on model architectures, weights, biases, and training methods, developing and recommending fine-tuning strategies for optimal performance, and optimizing model efficiency by determining the minimal necessary layer structure. To qualify for this role, you should have an advanced degree in Computer Science (MS or PhD), Machine Learning, Engineering, Applied Mathematics, or related quantitative field. Candidates with backgrounds in Control Theory, Information Theory, or similar disciplines are particularly encouraged to apply. You are expected to have extensive knowledge of various AI model architectures and their inner workings, a strong understanding of neural network fundamentals including weights, biases, and activation functions, experience with model fine-tuning and hyperparameter optimization, proficiency in Python and common ML frameworks such as TensorFlow and PyTorch, familiarity with state-of-the-art AI research, and the ability to quickly grasp new concepts. Additionally, you should demonstrate a systematic, logical approach to complex problems, particularly in model optimization and efficiency, possess excellent analytical and problem-solving skills, and have strong communication abilities to convey complex technical concepts clearly. Preferred skills include knowledge of Control Theory concepts such as feedback systems and stability analysis, as well as familiarity with Information Theory principles.,

You are an experienced Lead Generative AI Engineer responsible for training, optimizing, scaling, and deploying various generative AI models including large language models, voice/speech foundation models, vision, and multi-modal foundation models using cutting-edge techniques and frameworks. Your role involves architecting and implementing state-of-the-art neural architecture, robust training, and inference infrastructure to efficiently take complex models with billions of parameters to production while optimizing for low latency, high throughput, and cost efficiency. Your key responsibilities include: - Architecting and refining foundation model infrastructure to support optimized AI models deployment focusing on C/C++, CUDA, and kernel-level programming enhancements. - Implementing optimization techniques like quantization, distillation, sparsity, streaming, and caching for model performance enhancements. - Spearheading the development of Vision pipelines to ensure scalable training and inference workflows of billions of parameter foundation models. - Innovating for state-of-the-art architectures involving Panoptic Segmentation, Image Classification, and Image Generation. - Designing, developing, and innovating state-of-the-art large multimodal models. - Executing training and inference processes to minimize latency and maximize throughput utilizing GPU clusters and custom hardware. - Integrating and tailoring frameworks like PyTorch, TensorFlow, DeepSpeed, Lightening, FSDP, and Habana for fast model training and inference. - Enhancing post-deployment mechanisms with exhaustive testing, real-time monitoring, and robustness checks. - Driving continuous improvement initiatives for deployed models with automated pipelines for drift detection and performance degradation. - Leading the charge in model management including version control, reproducibility, and lineage tracking. - Cultivating a culture of high-performance computing and optimization within the AI/ML domain. Qualifications: - Ph.D. with 5+ years or MS with 8+ years of experience in ML Engineering, Data Science, or related fields. - Demonstrated expertise in high-performance computing with proficiency in Python, C/C++, CUDA, and kernel-level programming for AI applications. - Extensive experience in optimizing training and inference for large-scale AI models. - Understanding of Diffusion Models, Variational Autoencoders, Bayesian Modelling, and Reinforcement Learning is beneficial. - Experience in building billions of parameters generative AI foundation models. - Proven success in deploying optimized ML systems on a large scale using cloud infrastructures and GPU resources. - In-depth understanding and hands-on experience with advanced model optimization frameworks and MLOps tools. - Familiarity with contemporary MLOps frameworks and their application in production environments. - Strong grasp of state-of-the-art ML infrastructures, deployment strategies, and optimization methodologies. - Innovative problem-solving skills and collaborative mindset. - Exceptional communication and team collaboration skills.,

The Lead Platform Engineer - Gen AI at Elanco, based in Bengaluru, India, will be a part of the Software Engineering & Platforms team. Reporting to the IT Engineering Associate Director, you will be instrumental in driving the direction of platform and automation capabilities, specifically focusing on generative AI and its implementation at Elanco. Your role will involve collaborating with a diverse team to work on cutting-edge engineering initiatives that ensure secure, reliable, and efficient solutions using the latest technology. As a successful candidate, you must possess a highly motivated and innovative mindset, with the ability to articulate complex technical topics, collaborate with external partners, and ensure the quality delivery of solutions. You will have the opportunity to contribute to the growth of a highly skilled engineering organization and play a key role in shaping the future of GenAI capabilities at Elanco. Your responsibilities will include staying updated on the latest AI research and technologies, contributing to continuous improvement and innovation within the team, identifying opportunities for enhancing application team and developer experience, and working collaboratively with various stakeholders to deliver high-quality technical solutions. Additionally, you will be responsible for building and running GenAI capabilities, supporting distributed teams on AI/ML consumption, and maintaining robust support processes. To qualify for this role, you must have a minimum of 2+ years of hands-on experience in Generative AI and LLMs, along with a total of 8+ years of experience as a Software Engineer. Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other AI/ML frameworks is essential, as is a strong understanding of neural networks, NLP, computer vision, and other AI domains. Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure), familiarity with AI technologies, data pipelines, and deploying AI solutions in real-world applications are also required. It would be beneficial to have experience with Cloud Native design patterns, core technologies like Terraform, Ansible, and Packer, cloud cognitive services, AI/Embeddings technologies, modern application architecture methodologies, and API-centric design. Knowledge of authentication and authorization protocols, AI security, model evaluation, and safety will be advantageous. This role offers an exciting opportunity to work on cutting-edge technology, contribute to the growth of a new engineering organization, and make a significant impact on Elanco's AI capabilities. If you are passionate about innovation, collaboration, and driving tangible outcomes, we encourage you to apply for this role.,

Meet the Team The Cloud and AI Infrastructure team is a sales team at the cutting edge, helping customers change their business using Cisco technology in the data centre and on cloud. The team works with customers, partners and team members to take customer problems and turn them into business advantage. Your Impact We are seeking a dynamic Account Executive - AI Infrastructure to join our strategic sales team. As an Account Executive, you will lead sales opportunities, discover new opportunities and work closely with our customers and partners in setting a strategic vision for their business. You will understand our customers specific needs and align our sales priorities to those needs. This role requires a deep understanding of Data Centre technology including AI related Infrastructure and have experience in selling data centre infrastructure in a highly competitive environment. You will develop and execute a business development strategy to deliver strong business growth across the business, you will have amazing relationships with technology leaders in the industry and your customers, and you will champion Cisco as an AI Infrastructure leader. Minimum Qualifications 7+ years of technology-related sales or account management experience with a focus on business development and new technology incubation. Experience growing revenue for new innovative technology-based solutions. Experience in understanding business challenges when deploying data centre infrastructure at scale, including AI Infrastructure. Proven track record of working cross-functionally with Sales, Presales and Marketing to develop and launch new data centre infrastructure offers. Preferred Qualifications Bachelors degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. Excellent verbal and written communication skills. Experience working within technology incubate teams to grow market share at an accelerated rate. Sales Experience associated with deep learning, data science and AI Infrastructure. Sales experience with Data Centre relevant technology, such as storage, network, platform, server, security and cloud.

Meet the Team We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, were building a tight-knit group of AI and infrastructure experts driven by > We thrive in a fast-paced, experimentation-rich environment where new technologies arent just welcome theyre expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. Your Impact Cisco is seeking a forward-thinking AI Model Architect to drive the development of AI model and dataset design supporting the next-generation AI infrastructure platform. This is a key role at the intersection of infrastructure and AI systems, where you'll drive the architecture and execution of AI and Generative AI to develop novel solutions that improve monitoring, deployment, and management of AI applications running at scale. Your work will directly impact how enterprises deploy, scale, and optimize AI workloads. As an Architect, you will be responsible for both mentoring a high-caliber team as well as hands-on design to deliver robust AI models and workflows that learn from, recommend, and optimize the uptime, quality, and performance of customer infrastructure. Youll also guide strategic direction on resource utilization in generative AI systems, working cross-functionally to align product direction with infrastructure capabilities. Key Responsibilities: Architect and design datasets from infrastructure and operational telemetry. Architect, select, and fine-tune/train AI and Generative AI model that can detect patterns on time series datasets. Fine-tune and train AI and Generative AI models that can interreact with tools and take actions. Understanding k8s and other infrastructure components and their usages. Build Model Context Protocol (MCP) tools to support Agentic Workflows Demonstrate a deep understanding of AI frameworks that support Nvidia and AMD GPUs. Plan and coordinate software engineering work, map tasks to releases, conduct code reviews, and resolve technical challenges to unblock releases. Generate architecture specifications and build proof-of-concept (POC) solutions for clarity when needed. Collaborate with product management to understand customer requirements and build architecturally sound solutions. Work closely with engineers on implementation and track progress to ensure alignment with architectural requirements. Minimum Qualifications: Demonstrable experience in following AI and Generative AI model training and fine-tuning. KV Cache management and context length impact in LLM inferencing. Python, PyTorch, TensorRT and other AI frameworks CUDA, Nsight and other nvidia tools. vLLM, LLM-D and other runtime for LLMs. Comprehensive understanding of software release processes Proficiency in using agents building pipelines. Bachelors degree or equivalent with 10+ years of engineering experience. Preferred Qualifications: Demonstrable technical leadership through publish papers in industry conferences and publications, and issued patents Proven leadership experience in architecture and design of Retrieval Augmented Generation workflows. Demonstrable experience collecting and using system metrics in AI training/fine-tuning and inference Masters degree or equivalent.

Machine Learning : Understanding algorithms, data processing, and model training. Natural Language Processing (NLP) : Techniques for processing and generating human language. Data Science : Skills in data analysis, statistics, and data visualization. Software Development : Proficiency in programming languages like Python, R, and Java. Deep Learning : Knowledge of neural networks and frameworks like TensorFlow and PyTorch. These models are designed to understand and generate human-like text, similar to other well-known models like GPT-3. LLaMA models are used for various applications, including natural language processing tasks such as text generation, translation, summarization, and more. They are part of Meta's efforts to advance AI research and develop more sophisticated and capable AI systems. Key skills in this area include: