1380 Deep Learning Jobs - Page 41

The Distinguished Engineer for Emerging Technologies is a senior-level engineering leadership role responsible for shaping and guiding the strategic direction, technical architecture, and adoption of emerging technologies across the conversational chatbot and search business unit, with a primary focus on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. This role involves working closely with senior executives, cross-functional engineering teams, and key business units to build robust, scalable, and innovative technology solutions that drive the companys strategic initiatives. The Distinguished Engineer will be a thought leader in the conversational AI space, leveraging deep technical expertise to drive breakthroughs in applied AI technologies, mentor teams and drive innovations. What youll be doing You will be overseeing design, development, and implementation of complex software systems and enterprise-level applications and drive digital transformation. This role offers an exceptional opportunity to influence, innovate, and lead in an environment dedicated to pushing the boundaries of AI technology in conversational and enterprise search space. Performing cross-functional, multidisciplinary technical oversight to include evaluation of project work, scope, resources, methods and associated procedures related to org level initiatives. Understanding technical and functional architecture of current systems in Verizon Consumer business and bring in architecture recommendation for building intelligent conversational agents for Chatbot applications across different platforms (web, mobile, voice assistant) catering to customer sales and support applications Define and lead the technology strategy for Conversational Chatbot and Search, with a focus on advancing AI, Gen AI and Agentic AI initiatives Drive strategy for Conversational Chatbot and Search application. Provide strategic insights on AI trends, advancements, and competitive positioning to the executive leadership team. Identifying new technologies, continuous evaluation of evolving industry trends, and best practices, which can be applied in the applications and drive overall IT/Business benefits. Drive innovation and thought leadership in the team and building a strong pipeline for innovation/ideas and help guide the teams navigate from conceptual to implementation phases. Drive hackathons and ideathons at Org level. Influence and align cross-functional teams and business units to ensure cohesive execution of AI-driven objectives and goals. Partnering with Associate fellows and architects across consumer business on several org level initiatives. Mentoring and developing next level Principal Engineers, fostering a culture of technical excellence and continuous learning in emerging technologies will also be a core aspect of this role. Publish white papers, patents and research findings to position the organization as an industry leader in emerging technologies Working with startups to drive partnerships in developing Niche solutions for Consumer Business. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You'll need to have: Masters degree or Six or more years of work experience. Six or more years of experience in the roles of Technical/Solutions Architect principles and practices of application design and systems integration. Six or more years of experience of leading design, conceptualizing, designing and architecture of complex IT systems solutions. Six or more years of relevant experience engaging in product, technology and Industry evaluations. Experience in 4G & 5G Wireless Telecom especially in RAN network along with RF Engineering skills Experience in handling multiple stakeholders and large vendor teams Experience in handling contact center solutions specifically chatbot, call center applications and tools, Web Application Solution and AI/GenAI Solution deployments at scale. Five or more years of experience in defining architecture and building Conversational AI solutions with latest technologies like Google Dialog Flow, ReactJS, Springboot based microservices Strong background in systems architecture, data engineering, and cloud-native technologies (AWS, GCP, Azure), application performance monitoring using industry leading tools and data visualization. Expertise in AI, machine learning, deep learning, natural language processing, generative AI techniques, Autonomous experiences (Agentic AI) and Digital Twins Proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks. Experience with MLOps, data ethics, and large-scale AI deployment. Experience in filing patents and holding white papers and patents. Affiliations with architecture and design industry forums. Awareness of Security and Legal requirements related to IT solutions Experience in driving innovation in organizations via hackathons, ideathons and technology evangelism. Experience providing guidance to the delivery teams in articulating Solution Architecture and converting them into implementable Technical Designs. Even better if you have one or more of the following: Certifications in the specific technology areas. Ability to represent the team/application areas in various technology forums both internal and external. Strong verbal and written communication skills with skills in negotiations and building strong consensus with all stakeholders.Experience in playing the role of a technology person and a vivid speaker who has represented in technology forums. Experience in consulting roles to drive digital adoption across multiple business domains. Strong relationship skills and collaborative style to enable success across multiple partners. Strong commercial mindset and orientations to driving business value (revenue growth and expense mitigation).

Key Responsibilities : - Design, develop, and deploy AI/ML models for data-driven applications. - Work with Neo4j (Graph Database) to model and analyze complex relationships in datasets. - Implement machine learning algorithms for recommendation systems, predictive analytics, and knowledge graphs. - Develop and optimize graph-based data pipelines and algorithms using Neo4j Cypher queries. - Process, clean, and analyze large datasets for feature engineering and model training. - Integrate ML models into scalable applications using Python, TensorFlow, PyTorch, or Scikit-learn. - Optimize model performance, accuracy, and scalability for production deployment. - Collaborate with data scientists, backend engineers, and product teams to enhance AI capabilities. Required Skills : - Machine Learning & Deep Learning : Hands-on with ML models, classification, clustering, NLP. - Neo4j & Graph Databases : Experience in graph data modeling, Cypher queries, and data relationships. - Programming : Proficiency in Python, TensorFlow, PyTorch, Scikit-learn. - Data Engineering : Experience with ETL pipelines, data preprocessing, and feature engineering. - Big Data & Cloud : Exposure to Spark, Kafka, AWS/GCP/Azure (Good to have). - MLOps & Deployment : Working knowledge of Docker, Kubernetes, CI/CD pipelines. - Strong Analytical & Problem-Solving Skills for AI-driven applications. Good to Have : - Experience with Graph Neural Networks (GNNs) and Graph Data Science. - Knowledge of NLP, Computer Vision, or Time-Series Analysis. - Exposure to automated ML pipelines and model monitoring.

Artificial Intelligence/Machine Learning Engineer - Neo4j/Deep Learning Role : AI/ML Engineer Location : Bangalore Experience : 3-4 Years Joining : Immediate (Preferred) Key Responsibilities : - Design, develop, and deploy AI/ML models for data-driven applications. - Work with Neo4j (Graph Database) to model and analyze complex relationships in datasets. - Implement machine learning algorithms for recommendation systems, predictive analytics, and knowledge graphs. - Develop and optimize graph-based data pipelines and algorithms using Neo4j Cypher queries. - Process, clean, and analyze large datasets for feature engineering and model training. - Integrate ML models into scalable applications using Python, TensorFlow, PyTorch, or Scikit-learn. - Optimize model performance, accuracy, and scalability for production deployment. - Collaborate with data scientists, backend engineers, and product teams to enhance AI capabilities. Required Skills : - Machine Learning & Deep Learning : Hands-on with ML models, classification, clustering, NLP. - Neo4j & Graph Databases : Experience in graph data modeling, Cypher queries, and data relationships. - Programming : Proficiency in Python, TensorFlow, PyTorch, Scikit-learn. - Data Engineering : Experience with ETL pipelines, data preprocessing, and feature engineering. - Big Data & Cloud : Exposure to Spark, Kafka, AWS/GCP/Azure (Good to have). - MLOps & Deployment : Working knowledge of Docker, Kubernetes, CI/CD pipelines. - Strong Analytical & Problem-Solving Skills for AI-driven applications. Good to Have : - Experience with Graph Neural Networks (GNNs) and Graph Data Science. - Knowledge of NLP, Computer Vision, or Time-Series Analysis. - Exposure to automated ML pipelines and model monitoring.

Design, develop, and maintain full-stack software proofs of concept Collaborate with cross-functional teams to define, design, and deliver new exploratory features Experiment with new ideas and technologies to improve our deliverables and processes Apply AI technology to solve problems in innovative ways Formulate action plans to achieve specific goals Continuously discover, evaluate, and implement new technologies to maximize development efficiency Write clear documentation Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 5+ years of experience as a Full Stack Developer or similar role. Experience developing desktop and mobile applications. Proficiency in fundamental front-end languages such as HTML, CSS, and JavaScript. Strong knowledge of JavaScript frameworks (e.g., Angular, React, Node.js). Familiarity with database technology such as MySQL, Oracle, and MongoDB. Knowledge of code versioning tools such as Git. Experience with cloud platforms (AWS, Azure, Google Cloud). Familiarity with containerization and orchestration technologies like Docker and Kubernetes. Experience with system and UX design tools (Figma, PlantUML). Experience with API design tools (OpenAPI, Swagger). Experience with Agile processes. Teamwork skills. Self directed and proactive Can translate vaguely defined ideas into demonstrable deliverables Quick to find and learn new technologies as needed An analytical mind and problem-solving aptitude. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Love for clean design, user experience and keeping things simple. Passionate about users and feedback. Desirable Skills: Understanding of CI/CD pipelines. Experience with AI technology (LLMs, Deep Learning). Experience in financial services. Experience developing and publishing the front and back end of a mobile application Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Job Title: Junior Data Science Engineer AI/ML Experience Level: 1 to 2 years About the Role: We're looking for sharp, curious, and motivated junior data science engineers to join our innovation-driven team. In this role, you'll work alongside experienced engineers, data scientists, and product teams to prototype cutting-edge solutions involving AI agents, large language models (LLMs), and unsupervised learning techniques. You'll be exposed to end-to-end solution building from hypothesis to prototype to pilot in a collaborative, fast-paced environment where ideas move quickly from whiteboard to working system. What You’ll Do: Prototype AI agents using LLMs (e.g., OpenAI, Claude, Mistral, etc.) Explore and apply clustering and unsupervised learning methods (e.g., k-means, DBSCAN, topic modeling, dimensionality reduction) Develop proof-of-concept solutions and experiment with ideas across different domains Collaborate with cross-functional teams including ML engineers, product managers, and senior data scientists Analyze structured and unstructured data from various sources (APIs, databases, logs, documents, etc.) Continuously learn, test, and apply new advancements in the AI/ML space What We’re Looking For: Strong foundation in statistics, probability, and machine learning Solid understanding of unsupervised learning algorithms and their use cases Hands-on experience with clustering, anomaly detection, or dimensionality reduction Basic familiarity with LLMs and prompt engineering Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow Familiarity with building prototypes using Jupyter, Streamlit, or similar Growth mindset and a passion for experimentation and rapid learning Nice to Have: Exposure to AI agent frameworks (LangChain, AutoGen, CrewAI, etc.) Experience with API design or integration Familiarity with cloud platforms (AWS/GCP/Azure) Background in NLP, graph analysis, or time-series clustering

Job Description At Rolls-Royce, we look beyond tomorrow. We continually pioneer integrated power and propulsion solutions to deliver cleaner, safer and more competitive power. Rolls-Royce Power Systems is headquartered in Friedrichshafen in southern Germany and employs around 9,000 people. The product portfolio includes MTU-brand high-speed engines and propulsion systems for ships, power generation, heavy land, rail and defense vehicles and for the oil and gas industry as well as diesel and gas systems and battery containers for mission critical, standby and continuous power, combined generation of heat and power, and micro grids. Experienced and highly motivated Project Manager to oversee the Supply, Installation, Testing & commissioning of diesel / Gas generators. The Project Manager will be responsible for ensuring the successful planning, execution, and completion of generator installation projects, ensuring adherence to budget, timeline, quality, and safety standards. The role requires coordination with multiple stakeholders, including internal teams, contractors, vendors, and clients to ensure that the power infrastructure is installed and commissioned efficiently to meet operational requirements. Work with us and we ll welcome you into an inclusive culture, one that invests in your continuous learning and development, and gives you access to a wide breadth and depth of experience. Internship Program - Key opportunities and responsibilities Work side-by-side with industry experts and support the advancement of emerging technologies that shape future of TYI Mechanical Integrity & Component Designing. Gain real world experience, work hands on and be involved in day-to-day operations. Experience problem solving in real work setting. Ideal Candidate/Qualification Preferred candidate who is pursuing Master s in computer science / IT, Bachelor s candidate can be an option but after personal interview Problem solving Skills and able to interpret the requirement in code using python Good understanding about Artificial Neural Network architectures, machine learning techniques using time series and its applications. OR should have done some courses on Deep learning techniques. Curious and motivated to explore the topic or given task in depth.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

What You'll Do: You will work directly as part of AA CoE and be a part of analytics focused projects across statistics, optimization & simulations, machine learning and Big Data. Your role will involve design and implementation of advanced statistical analysis and machine learning algorithms to derive business insights and solve complex business problems. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to management and implementing recommendations with team members. Youll have the opportunity to gain new skills and build on the strengths you bring to the company. Main task: • Design and implement machine-learning models to support the businesss numerous initiatives and programs with a view of achieving overall objectives and targets • Successful documentation of reusable code • Achieve personal technical development and learning goals • Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc. Participate in and help plan cultural initiatives for CoE Qualifications • University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Master’s degree in above mentioned subjects preferred • 2-3 years of technical experience in handling large datasets and applying advanced statistical and machine learning algorithms • Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. • Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases • Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. • Stakeholder management skills with ability to communicate and work with senior management effectively • Skills to communicate complex ideas effectively Interested candidates can send their resume on a mail - Resumesktk@muthootgroup.com

Job Description : - At least 2 years of experience in computer vision and or deep learning for object detection. - Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc. and frameworks like Django or Flask. - Experience with OCR and NLP would be an added advantage. - Experience with any machine deep learning frameworks like Tensorflow, Keras, Scikit-Learn and PyTorch. - Experience in training models through GPU computing. - Ability to transform research articles into the working solutions to solve real-world problems. Strong experience in using both basic and advanced image processing algorithms for feature engineering Requirement : - Proven experience as a Data Scientist - Understanding of machine-learning - Experience using business intelligence tools - Analytical mind and business acumen - Strong math skills (e.g. statistics, algebra) - Problem-solving aptitude - Excellent communication and presentation skills - BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Role AI Architect Client Trianz D&AI Practice Employment Type Employee Work location India ? Hyderabad or Bangalore Work mode Trianz Office - Hybrid Trianz Grade 6 / 10 ? 15 years / Solutions Architect About Trianz Standard Job Summary The Advanced Analytics and AI Offering Lead is responsible for the definition, development, and go-to-market strategy of cutting-edge analytics and AI solutions for our D&AI practice. You will be an industry expert and develop market-leading, disruptive AI solutions that provide real value and transformation to our customers. You will develop and maintain key partnerships with relevant vendors and technologies that ensure best-in-class solution offerings. You will collaborate with other cross-functional teams to ensure their offerings meet the high demands of your solutions. Job Responsibilities Offering Definition & Delivery: Own the D&AI Practice Language Model & Gen AI + Composite AI & ML Ops offerings, ensuring that they are fully defined and meet industry best standards. Meet Practice revenue objectives. Innovation & Demonstration: Proactively identify disruptive, value-driven use cases and apply them throughout the customer?s journey with Trianz. Lead our AI & Innovation team?s activities to develop PoVs and PoCs that demonstrate value and drive revenue. Solution Design & Delivery: Design and deliver industry-best, responsible AI solutions. Organization-wide collaboration to ensure AI is at the forefront of thinking. Enablement and mentorship of AI-related project delivery. Salesforce Enablement: Ensure that our salesforce competently partners with clients to help advance their AI analytic strategy. Vision & Strategy: Ensure the D&AI Practice?s AI vision, strategy and point-of-view aligns with industry-leading AI best practice technologies, patterns and philosophies. Client Engagement: Regular collaboration and partnership with clients to understand their challenges and needs and respond with responsible AI solutions that transform and drive value. Lead and support proposal development. Leadership: Serve as company-wide AI and Advanced Analytics expert and advise on AI-related initiatives as needed. Manage and mentor Practice AI resources, ensuring quality delivery. Creativity: Be an out-of-the-box thinker and passionate about applying your skills to new and existing solutions alike while always demonstrating a customer-first mentality. Mandatory Qualifications At least 10+ years of experience in advanced analytics, AI, or data science roles, with a proven track record of leading and delivering large-scale AI/ML solutions. 5+ years of leadership experience, managing cross-functional teams, mentoring data scientists, and overseeing project delivery. 5+ years of Experience with driving strategy and executing data-driven solutions within large organizations. Strong understanding and hands-on experience with AI/ML algorithms, deep learning, MLOps and data analytic technology and techniques. Proficiency in programming languages like Python, R, or Scala, and experience with ML frameworks such as TensorFlow, PyTorch, Keras. Competency in delivering AI-solutions to cloud platforms like AWS, Azure, or GCP using native and 3rd party services and technologies. Knowledge of Big Data technologies (e.g., Hadoop, Spark, Kafka) and data processing tools. Familiarity with various industry domains such as retail, healthcare, financial services, manufacturing, or other sectors where AI and analytics solutions are prevalent. Demonstrated AI marketplace knowledge and applicability. Collaboration and management experience with technology partners (e.g., AWS, Azure, Google Cloud) to develop joint solutions. Practical understanding and experience related to data governance, privacy laws (e.g., GDPR, CCPA), and ethical AI practices. Experience ensuring regulatory compliance and implementing governance frameworks in AI & analytic solutions. Demonstrated, adept communication skills, matching with needs from C-level and technical stakeholders alike. Excellent people and self-management skills demonstrating ability to multitask goals and activities. Additional / Nice-to-have Qualifications Cloud platform (AWS preferred) and relevant AI-related certifications. Required Education Master?s/Bachelor?s degree (or higher) in a relevant field such as Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related discipline. Why Join Us? please share and review with Ben K before publishing Travel Requirement (%) Periodic / infrequent travel as required for In-person client meetings Company culture / focus events Training and/or alliance needs Initial Screening Questions Initial Rejection Screening Questions Does candidate does meet mandatory AI and ML experience requirements? If no, reject Does candidate communicate clearly in English? If no, reject Prioritization Questions (Candidates with highest points should receive highest ranking in progressing)

Job Title : Machine Learning (ML) Engineer. Job Type : Full Time / on BizAcuity payroll. Job Mode : Onsite/Work from Office | Monday to Friday | Shift 1 (Morning). Job Location : Hyderabad (Hi-Tech City nearby Image Hospital). Responsibilities : - Work experience of 3+ years with Deep Learning and Neural networks. - Researching new models and machine learning algorithms. - Designing prototypes and conducting experiments to guide engineering efforts. - Creating ML applications based on client/customer requirements. - Tell business stories through model outcomes and data. - Analyzing test results to improve models. - Exploring and visualizing data to identify potential issues that might affect model performance. - Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use. - Production deployment and maintenance of ML Systems. Skills required for this position include : - Advanced math and stats skills (calculus, linear algebra, Bayesian statistics). - A degree in a related field (math, computer science, statistics). - Strong teamwork, problem-solving, and analytical abilities. - Knowledge of data science. - Proficiency in coding and programming languages (Python, SQL). - Practical experience with ML frameworks and libraries. - Knowledge of software architecture, data modeling, and data structures. - Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud).

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations Since 2011, our mission hasnt changed "” were here to stop breaches, and weve redefined modern security with the worlds most advanced AI-native platform We work on large scale distributed systems, processing almost 3 trillion events per day We have 3.44 PB of RAM deployed across our fleet of C* servers and this traffic is growing daily Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward Were also a mission-driven company We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers Were always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other Ready to join a mission that mattersThe future of cybersecurity starts with you. About The Role The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML model development lifecycle, ML engineering, and Insights Activation This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company We processdata at a truly immense scale The data sets we process are composed of various facets including telemetry data, associated metadata, IT asset information, contextual formation about threat exposure, and many more These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse. We are seeking a strategic and technically savvy leader to head our Data and ML Platform team As the head, you will be responsible for defining and building our ML Experimentation Platform from the ground up, while scaling our data and ML infrastructure to support various roles including Data Platform Engineers, Data Scientists, and Threat Analysts Your key responsibilities will involve overseeing the design, implementation, and maintenance of scalable ML pipelines for data preparation, cataloging, feature engineering, model training, model serving, and in-field model performance monitoring These efforts will directly influence critical business decisions In this role, you'll foster a production-focused culture that effectively bridgesthe gap between model development and operational success Furthermore, you'll be at the forefront of spearheading our ongoing Generative AI investments The ideal candidate for this position will combine strategic vision with hands-on technical expertise in machine learning and data infrastructure, driving innovation and excellence across our data and ML initiatives We are building this team with ownership at Bengaluru, India, this leader will help us boot strap the entire site, starting with this team. What You'll Do Strategic Leadership Define the vision, strategy and roadmap for the organizations data and ML platform to align with critical business goals. Help design, build, and facilitate adoption of a modern Data+ML platform Stay updated on emerging technologies and trends in data platform, ML Ops and AI/ML Team Management Build a team of Data and ML Platform engineers from a small footprint across multiple geographies Foster a culture of innovation and strong customer commitment for both internal and external stakeholders Platform Development Oversee the design and implementation of a platform containing data pipelines, feature stores and model deployment frameworks. Develop and enhance ML Ops practices to streamline model lifecycle Management from development to production. Data Governance Institute best practices for data security, compliance and quality to ensure safe and secure use of AI/ML models. Stakeholder engagement Partner with product, engineering and data science teams to understand requirements and translate them into platform capabilities. Communicate progress and impact to executive leadership and key stakeholders. Operational Excellence Establish SLI/SLO metrics for Observability of the Data and ML Platform along with alerting to ensure a high level of reliability and performance. Drive continuous improvement through data-driven insights and operational metrics. What You'll Need S 10+ years experience in data engineering, ML platform development, or related fields with at least 5 years in a leadership role. Familiarity with typical machine learning algorithms from an engineering perspective; familiarity with supervised / unsupervised approacheshow, why and when labeled data is created and used. Knowledge of ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI, etc. Experience with modern ML Ops platforms such as MLFLow, Kubeflow or SageMaker preferred.Experience in data platform product(s) and frameworks like Apache Spark, Flink or comparable tools in GCP and orchestration technologies (e.g Kubernetes, Airflow) Experience with Apache Iceberg is a plus. Deep understanding of machine learning workflows, including model training, deployment and monitoring. Familiarity with data visualization tools and techniques. Experience with boot strapping new teams and growing them to make a large impact. Experience operating as a site lead within a company will be a bonus. Exceptional interpersonal and communication skills Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role s, geographic neighbourhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified„¢ across the globe CrowdStrike is proud to be an equal opportunity employer We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Show more Show less

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, Sr AI/ML Developer Experience8-10 Years LocationThane / Vikhroli, Mumbai About The Role We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments. Show more Show less

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, Sr AI/ML Developer Experience8-10 Years LocationThane / Vikhroli, Mumbai About The Role We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments. Show more Show less

Job TitleStatistical Analytics Engineer (F/M/D) Experience7+ Years LocationBangalore Notice PeriodImmediate Joiners or Maximum 15 Days Role Over viewJoin our innovative team to drive data-powered advancements in chemistry and materials science As a Statistical Analytics Engineer, youll apply advanced statistical methods, AI, and data science to develop intelligent solutions, enhance process automation, and foster innovation across interdisciplinary teams. Key Responsibilities Lead analytics initiatives leveraging AI, statistical modeling, and data science within KLs technical and scientific domains Design, operationalize, and optimize scalable data pipelines and analytical products Partner with domain experts to innovate data-driven methodologies and tools Prioritize incoming data-related requests by evaluating effort versus impact Develop and automate analytical workflows using statistical techniques Drive cross-functional collaborations and external partner projects Continuously update your skillset through training and contribute to internal knowledge sharing Mentor and support teams in adopting data tools and maintaining data quality standards Qualifications Masters degree or equivalent in Engineering, Chemistry, Physics, or a related field 7"“10 years of experience in data modeling, statistical analysis, and data visualization in manufacturing or industrial environments Proficiency in Python, SQL, and tools such as JupyterLab, GitLab, Airflow, and MLflow Strong expertise in cheminformatics, materials informatics, and generative AI techniques Hands-on experience with interactive application frameworks like Shiny, Dash, or Streamlit In-depth understanding of chemical analysis and organic chemistry Show more Show less

Job TitleData Scientist (OpenCV) Experience0"“1 Year LocationBangalore Notice PeriodImmediate Joiner Job Summary We are seeking a highly motivated and enthusiastic Data Scientist with a passion for computer vision and hands-on experience in OpenCV This is an excellent opportunity for recent graduates or early-career professionals to contribute to real-world projects involving image processing, computer vision, and machine learning. Key Responsibilities Work on image and video processing projects using OpenCV and Python. Assist in developing computer vision models for object detection, recognition, and tracking. Preprocess and analyze image datasets to extract meaningful insights. Collaborate with senior data scientists and engineers to integrate models into production environments. Conduct experiments and contribute to research-oriented tasks in the field of computer vision. Document processes, models, and results for internal review and external presentation. Required Skills Strong knowledge of OpenCV and image processing techniques. Proficiency in Python and related libraries (e.g., NumPy, Pandas, Matplotlib). Understanding of basic machine learning and deep learning concepts. Familiarity with tools like Jupyter Notebooks, TensorFlow, or PyTorch is a plus. Good problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or a related field. Internship or academic project experience in computer vision or image processing. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. What We Offer A collaborative and learning-driven environment. Mentorship from experienced professionals. Opportunity to work on innovative projects with real-world impact. Competitive salary and benefits. Show more Show less

Job TitleGen AI Consultant (1"“3 Years Experience) Experience1"“3 Years LocationBangalore Notice PeriodImmediate Joiner DomainGenerative AI, Machine Learning, NLP About The Role We are seeking a motivated and innovative Gen AI Consultant with 1"“3 years of hands-on experience to join our team This role is ideal for someone passionate about applying cutting-edge generative AI technologies to solve real-world business problems You will collaborate with cross-functional teams to design, develop, and deploy AI-driven solutions leveraging LLMs (Large Language Models), prompt engineering, and related tools. Key Responsibilities Collaborate with stakeholders to understand business needs and translate them into AI-based solutions. Develop and fine-tune prompts for large language models (e.g., GPT, Claude, Gemini). Design, prototype, and test generative AI applications (chatbots, content generation tools, copilots, etc.). Evaluate and integrate APIs and SDKs from leading Gen AI providers (OpenAI, Google, Hugging Face, etc.). Conduct research on Gen AI advancements and provide recommendations for adoption. Support model evaluation, performance tuning, and bias/ethics considerations. Document solutions, workflows, and best practices for internal and client use. Required Skills & Qualifications Bachelors degree in computer science, Data Science, AI/ML, or related field. 1"“3 years of experience working in AI/ML, with at least 1 year in generative AI applications. Proficiency in Python and relevant AI/ML libraries (e.g., Hugging Face Transformers, LangChain, OpenAI SDK). Solid understanding of LLMs, NLP concepts, and prompt engineering. Experience building proof-of-concepts and deploying Gen AI solutions. Familiarity with tools like Jupyter, VS Code, and cloud platforms (AWS, Azure, GCP). Strong problem-solving, communication, and analytical skills. Good To Have Experience with vector databases (e.g., Pinecone, FAISS, Weaviate). Knowledge of RAG (Retrieval-Augmented Generation) pipelines. Understanding of model fine-tuning or RLHF. Prior experience in consulting or client-facing roles. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and experienced AI/ML Engineering Manager and Technical Specialist to lead our team of dedicated professionals. The ideal candidate will have 8-14 years of hands-on experience in artificial intelligence and machine learning, with a proven track record of managing complex projects and driving innovation. This role requires a blend of technical expertise, leadership capabilities, and strategic vision to advance our AI/ML initiatives and deliver impactful solutions. Primary Responsibilities Leadership and Management Lead and mentor a team of AI/ML engineers and data scientists, fostering a collaborative and high-performance work environment Oversee the planning, execution, and delivery of AI/ML projects, ensuring alignment with company goals and timelines Collaborate with cross-functional teams including product managers, software engineers, and business stakeholders to define project requirements and deliverables Conduct regular performance evaluations, provide feedback, and identify opportunities for professional growth and development Technical Expertise Design and implement state-of-the-art AI/ML models and algorithms to solve complex business problems Stay abreast of the latest advancements in AI/ML technologies and best practices, ensuring the team adopts cutting-edge methodologies Lead the development and optimization of data pipelines, ensuring data quality and integrity throughout the AI/ML lifecycle Evaluate and select appropriate tools, frameworks, and platforms to enhance the efficiency and scalability of AI/ML solutions Strategic Vision Develop and execute a comprehensive AI/ML strategy that aligns with the company's long-term objectives and market trends Identify new opportunities for AI/ML applications and drive innovation to maintain a competitive edge Collaborate with senior leadership to secure resources and funding for AI/ML initiatives Represent the company in industry conferences, workshops, and other forums to showcase our AI/ML capabilities and thought leadership Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. A Ph.D. (a plus) 8+ years of experience in AI/ML development, with at least 3 years in a managerial or leadership role Proven experience in designing, developing, and deploying AI/ML models in real-world applications Solid programming skills in languages such as Python, R, or Java, and proficiency with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn Proven excellent problem-solving skills, with the ability to think critically and strategically about AI/ML solutions Proven outstanding communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders Preferred Qualifications Experience with big data technologies such as Hadoop, Spark, or Kafka Familiarity with cloud platforms like AWS, Google Cloud, or Azure, and their AI/ML services Background in natural language processing (NLP), computer vision, or reinforcement learning Demonstrated ability to manage multiple projects and priorities in a fast-paced environment Published research papers or patents in the field of AI/ML

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities AI ImplementationImplement AI solutions to automate tasks, improve customer experiences, and optimize operations Data Analysis and InterpretationAnalyze large datasets to extract meaningful insights and trends using Python and data science techniques Model DevelopmentDevelop, train, and deploy machine learning models to solve business problems and enhance decision-making processes Data Collection and CleaningData Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets Analysis and InterpretationOne of the primary tasks of a Data Analyst is to analyse data to uncover trends, patterns, and correlations. They use statistical techniques and software such as R, SAS, and Tableau to conduct detailed analyses. The ability to interpret results and communicate findings clearly is crucial for guiding business decisions Reporting and VisualizationData Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable. Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information Collaboration and CommunicationEffective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals. Data Analysts must communicate their findings clearly and concisely, often translating technical data into understandable insights for non-technical stakeholders Predictive Modelling and ForecastingAdvanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes. This requires a solid understanding of data science principles and familiarity with tools like TensorFlow and Scikit-learn Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Undergraduate degree or equivalent experience Python ProficiencySolid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras)