1951 Deep Learning Jobs - Page 36

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for AI deployment.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for AI deployment.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

The AI Expert, serving as a Senior Managing Consultant for transformation programs in Banking, will have a critical role with the following key responsibilities: 1. Transformative Pitch ConstructionDevelop and present transformative pitches to banks that utilize applied AI to enhance employee productivity, reduce operational risks, improve customer satisfaction, and address other critical problem statements. Emphasize the connection between AI initiatives and return on investment (ROI) to demonstrate the financial benefits of proposed solutions. 2. AI Solution Architecture LeadershipLead the design and formulation of AI solution architectures for proposals and pitches. Ensure that the solutions are innovative, scalable, and differentiated from competitors’ offerings. 3. AI Governance AssessmentEvaluate the maturity of AI governance frameworks within client organizations. Identify gaps and recommend best practices to enhance governance structures, ensuring compliance with regulatory standards. 4. Product and Partner Ecosystem EvaluationAssist banks in selecting appropriate AI products and establishing a partner ecosystem that aligns with their strategic objectives and enhances their technological capabilities. 5. Model Execution OversightOversee the execution of AI models, ensuring adherence to established methodologies and best practices. Review model performance and provide guidance for improvements as necessary. 6. Stakeholder CollaborationWork closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure alignment between business goals and technical solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise The candidate must possess the following technical and professional expertise: 1. Educational BackgroundA Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field is required. 2. ExperienceA minimum of 15 years of experience in consulting or a related field within the financial services industry, with a strong focus on AI applications in banking. 3. Technical Skills: 4. Proficiency in AI technologies such as machine learning, deep learning, natural language processing (NLP), and robotic process automation (RPA). 5. Experience with data analytics tools (e.g., Python, R) for model development and evaluation. 6. Familiarity with leading AI stacks (e.g., TensorFlow, PyTorch) for developing scalable AI solutions. 7. Knowledge of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions. 8. Understanding of data governance principles and frameworks relevant to AI applications. Professional Skills: 1. Strong analytical skills with a proven ability to identify gaps in existing processes and recommend innovative solutions. 2. Excellent communication skills for effectively conveying complex technical concepts to diverse stakeholders. 3. Project management capabilities to oversee the execution of AI initiatives. 4. Ability to articulate the ROI associated with AI projects to stakeholders at various levels within client organizations. Preferred technical and professional experience Industry KnowledgeFamiliarity with emerging trends in banking such as digital banking transformations, embedded finance solutions, and regulatory compliance requirements related to AI. 2. CertificationsRelevant certifications such as Certified Analytics Professional (CAP), AWS Certified Machine Learning Specialty, or similar credentials that demonstrate expertise in AI technologies. 3. Experience with Governance FrameworksPrior experience in assessing or implementing AI governance frameworks within financial institutions is highly desirable. 4. Understanding of Ethical AI PracticesKnowledge of ethical considerations surrounding AI use in banking, including fairness, accountability, transparency, and bias mitigation strategies.

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Role - Sr Data Scientist Location - Gurgaon Work from Office - 5 Days What skills would you possess: • Total Experience: 3-5 years in data science - Gen- AI or related field. • Preferred Educational Background: Advanced degree in a relevant field (e.g., Computer Science, Data Science, Machine Learning). Technical Skills: • Strong expertise in NLP, chatbot development, deep learning, LLMs, Prompt Engineering & Fine tuning. Proficient in machine learning models: XGBoost, Random Forest, SVM. Experience with Dialog Flow and Rasa integration. Proficient in Python, PyTorch, Python packages, and related IDEs. Familiarity with Agile development methodologies. Experience with Jenkins and GitHub for CI/CD Communication Skills: Excellent verbal and written communication skills. If you are a motivated and skilled data scientist with a proven track record in NLP, chatbot development, deep learning, and machine learning models, we invite you to apply for the Senior Data Scientist position at Mobikwik. Join us in shaping the future of data-driven solutions in the fintech industry. Girish Gupta https://www.linkedin.com/in/igirishgupta/

Responsibilities • Design and develop AI models and algorithms • Build and train ML systems • Process large datasets • Deploy models to production • Collaborate with team to integrate AI solution • Ensure model accuracy • Stay updated with AI trends

Hi, Greetings from NxtWave! Were hiring for the Software Development Instructor role and found your profile relevant. The role offers a CTC of up to 10 LPA, based on your experience and performance. To take things forward, please fill out this quick form: Application Form :https://forms.gle/DHuWZBS1NpqAAaNm6 For more details, check the JD: Job Description: https://docs.google.com/document/d/1811D5B10o4zTq7LjtLxmyTwz4GbqSAy8PMv1IHVZR0Q/edit?usp=sharing Learn more about us at www.ccbp.in Looking forward to hearing from you! Best, Team NxtWave & responsibilities Preferred candidate profile

SoftwareEngineer-L2Chatbot Engg Role! 3+yrs exp, Python (must), Java/Golang (good), Django, AWS, Postgres, NLP, LLMs/GenAI, ML, NLU, NLG, TTS, voice bots. Full-stack exp a plus. C2H with TE Infotech (Exotel). Loc: BLR. Apply: ssankala@toppersedge.com

JOB DESCRIPTION COMPANY NAME- SHARD Center for innovation (UNDER THE AEGIS OF JALSA VENTURES) Profile- Trainer/Teacher for AI, ML, DRONE, ROBOTICS for Childrens Salary- 20k to 35k Exp- Min 2 yr. Job Mode- Full Time Job Timing- Full Time (11:00Am to 8:00Pm) Qualification- Graduate/ Postgraduate (With Technical Degree) Interview Mode- Virtual & F2F Roles & Responsibilities- Conducting classroom education (Theory and practical) in AI, ML, Robotics, Drone etc. Planning daily/weekly lessons. Adopting an objective criterion for measuring learner progress. Attending to age appropriate /individual student needs and refinement of knowledge delivery accordingly. Demonstrating various hands-on projects for the students. To carry out Any other activities related to the above as and when decided by the management. Requirements and skills- Bachelor's degree (Technical) preferably related to the subjects above. Practical Knowledge of these subjects and experience in imparting lessons in these subjects. Good written and verbal communication skills. Previous experience of conducting these subjects would be advantageous. Thanks & Regards HR & Admin Astha Singh Contact No-7428101729

JOB DESCRIPTION COMPANY NAME- SHARD Center for innovation (UNDER THE AEGIS OF JALSA VENTURES) Profile- Trainer/Teacher for AI, ML, DRONE, ROBOTICS for Childrens Salary- 20k to 35k Exp- Min 2 yr. Job Mode- Full Time Job Timing- Full Time (11:00Am to 8:00Pm) Qualification- Graduate/ Postgraduate (With Technical Degree) Interview Mode- Virtual & F2F Roles & Responsibilities- Conducting classroom education (Theory and practical) in AI, ML, Robotics, Drone etc. Planning daily/weekly lessons. Adopting an objective criterion for measuring learner progress. Attending to age appropriate /individual student needs and refinement of knowledge delivery accordingly. Demonstrating various hands-on projects for the students. To carry out Any other activities related to the above as and when decided by the management. Requirements and skills- Bachelor's degree (Technical) preferably related to the subjects above. Practical Knowledge of these subjects and experience in imparting lessons in these subjects. Good written and verbal communication skills. Previous experience of conducting these subjects would be advantageous. Thanks & Regards HR & Admin Astha Singh Contact No-7428101729

About the job: As an Artificial Intelligence (AI) Specialist at Sihari Labs Private Limited, you will have the opportunity to work with cutting-edge technologies and contribute to innovative solutions that drive the future of AI. If you are a skilled professional with expertise in Python, Machine Learning, Artificial Intelligence, Data Science, and Deep Learning, we want to hear from you! Key responsibilities: 1. Develop and implement AI algorithms and models to enhance business operations and drive efficiency. 2. Work closely with cross-functional teams to understand project requirements and deliver tailored AI solutions. 3. Conduct thorough data analysis and interpretation to extract valuable insights and trends. 4. Collaborate with software developers to integrate AI capabilities into existing systems and applications. 5. Stay up-to-date on the latest advancements in AI technology and propose innovative ideas for project enhancements. 6. Participate in research projects and experiments to explore new AI techniques and methodologies. 7. Provide guidance and mentorship to junior team members to support their professional growth and development. If you are passionate about AI and eager to make a significant impact in the field, join us at Sihari Labs Private Limited and be at the forefront of AI innovation! Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 3,00,000 - 5,00,000 /year Experience: 1 year(s) Deadline: 2025-07-16 23:59:59 Other perks: Informal dress code, 5 days a week, Free snacks & beverages Skills required: Python, Machine Learning, Data Science, Deep Learning and Artificial intelligence Other Requirements: 1. Computer science graduates are preferred. 2. Python Programming knowledge is mandatory. About Company: Sihari Labs Pvt Ltd is a dynamic technology company specializing in software development, AI agent development, mobile app development, and web development. We leverage cutting-edge technologies to create innovative, efficient, and user-friendly digital solutions tailored to meet the unique needs of our clients. Our expertise in artificial intelligence enables us to develop advanced AI agents that enhance business capabilities and streamline complex processes, while our mobile and web development teams craft intuitive and scalable applications designed for exceptional user experiences.

Chief Artificial Intelligence Officer (CAIO) Mission: Lead the research, development, and continuous advancement of BIG's AI capabilities in generative translation, speech, vision, and decision-support. Transform innovation into intellectual property that drives all BIG product lines. Promote scientific rigor, ethical AI, and rapid experimentation for impactful delivery at startup speed. Reporting Structure: Reports to the Chief Executive Officer with a dotted line to the Board Technology and Ethics Committee. Directly manages the AI Research Lab with about 45 team members. Oversees an 18 million USD R and D budget. Closely collaborates with the Chief Technology Officer for scaled model deployment. Strategic Pillars and Key Outcomes (First 12 Months): 1. Model Innovation and Research: - Release Gen-3 multilingual transformer - Improve BLEU score by 6 points - Cut post-edit effort by 40 percent 2. AI Platform and Toolchain: - Launch distributed training cluster with 2 PFLOPS - Create a feature store - Achieve less than 6-hour model retrain cycles 3. Responsible and Ethical AI: - Complete company-wide AI governance playbook - Ensure 100 percent model compliance with bias and robustness audits 4. Talent and Ecosystem: - Hire 12 PhD researchers - Launch joint labs with two top universities and three strategic vendors 5. Thought Leadership and Intellectual Property: - File 8 new AI patents - Present at ACL, EMNLP, and NeurIPS - Publish annual BIG AI Impact Report Core Responsibilities: - Set AI research agenda for translation, LLMs, speech, and vision - Drive model experimentation and peer review - Manage data acquisition, labeling, and privacy policies - Lead AI Ethics Council and ensure legal compliance with regulations - Develop academic and vendor partnerships - Secure grants and joint research agreements - Promote a culture of open science and learning - Mentor AI-focused staff Authority: - Full authority over AI Research Lab budget and hiring - Final approval on model readiness, architecture, and ethical compliance - Chair of the patent committee for AI innovations Qualifications: - Over 20 years in AI and ML with at least 10 years leading research teams - Proven experience bringing models to production - Expertise in deep learning, generative models, translation, and speech AI - PhD in a relevant field preferred - Publications at major conferences such as ACL, EMNLP, ICML, or NeurIPS - Experience with AI governance and responsible AI programs - Strong executive communication and collaboration skills Why This Role Matters: BIG's leadership in language AI depends on turning research into scalable, responsible innovation. The CAIO ensures cutting-edge models deliver long-term business value and technical excellence.

Job Title: Chief Technology Officer (CTO) Mission: Operationalize and scale the advanced AI capabilities developed by BIG's CAIO team across secure, resilient, and cost-efficient cloud platforms. Ensure every customer experience uses state-of-the-art language AI with high availability, enterprise-grade security, and rapid delivery cycles. Reporting Structure: Reports to the Chief Executive Officer (CEO). Works alongside the CAIO. Oversees approximately 70 employees across platform engineering, DevSecOps, SRE, and enterprise IT. Manages a 25 million USD annual budget. Strategic Pillars and Key Outcomes (First 12 Months): 1. AI Operationalization and MLOps: - Integrate CAIO Gen3 models into production services - Automate CI/CD and model rollback - Target less than 10-minute MTTR and fewer than 0.1 percent model-related incidents 2. Unified Language Platform: - Complete migration to Azure or GKE - Target five times throughput and 30 percent cost reduction 3. Telephony and Multilingual Customer Experience: - Finalize Genesys and Twilio rollout - Target less than 200 milliseconds round-trip time and 50 percent faster three-way connects 4. Security and Compliance: - Achieve zero priority one incidents - Renew HITRUST, SOC 2 Type II, ISO 27001, and PCI voice certifications 5. Financial and Vendor Management: - Reduce cloud cost per translated word by 25 percent - Renegotiate top five vendor contracts Core Responsibilities: - Design and maintain scalable, fault-tolerant infrastructure across Azure, AWS, GCP, and Kubernetes - Manage model registry, performance monitoring, and deployment pipelines - Ensure responsible AI standards are enforced - Promote API-first and event-driven development practices - Implement CI/CD, QA automation, and infrastructure as code - Lead security, access control, and disaster recovery practices - Manage technology budgets and vendor relationships - Hire and develop top engineering talent - Collaborate with CAIO, Product, and Customer Success teams - Represent company in client technical meetings and industry events Authority: - Final decision-making on architecture, security posture, and technology expenditures - Full hiring and termination authority for technical teams Qualifications: - Over 15 years in SaaS engineering leadership roles - Over 10 years in executive positions with P and L responsibility - Hands-on experience with Kubernetes, CI/CD, observability tools, and infrastructure automation - In-depth knowledge of compliance frameworks such as HITRUST, SOC 2, ISO 27001, and PCI DSS - Bachelor's in Computer Science or related field; MBA preferred Why This Role Matters: BIG's AI innovations must be delivered quickly, securely, and at scale. The CTO ensures every model developed by CAIO reaches production with reliability and operational excellence.

Responsibilities: * Provide technical support for AI/ML projects using Python, C++, Java & Full Stack. * Collaborate with cross-functional teams on project delivery. * Ensure code quality through testing and documentation.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

The Job: We are Seeking to identify a Data Scientist AI ML responsible to work on the company's maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians. Liaison with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures Maintain and enhance existing model deployments to make sure they stay valuable and relevant Mentor junior members of the team and stay up to date with ML advances Your Profile: An ideal candidate will hold a bachelor's degree in a quantitative field in quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields with at least 4+ years of experience in Data Science/Machine Learning/advanced analytics/optimization. Deep understanding of data structures, relationships, and efficient transformations Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring Strong Knowledge of database querying and being able to write complex queries to extract data Fluent skill in python/pyspark Strong knowledge of Statistical Modelling, feature engineering, testing Ability to propose novel modelling approaches based on the problem being solved Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position

Machine Learning/Deep Learning Senior Data Scientist Job Summary: We are seeking an experienced Machine Learning/Deep Learning Senior Data Scientist to join our team and drive the development of cutting-edge AI solutions. As a Senior Data Scientist, you will be responsible for designing, developing, and deploying scalable and efficient machine learning and deep learning models to solve complex business problems. You will work closely with cross-functional teams to ensure the successful delivery of AI-powered projects. Key Responsibilities: 1. Design and Develop Machine Learning/Deep Learning Models: Design, develop, and deploy machine learning and deep learning models using various techniques such as supervised, unsupervised, and reinforcement learning. 2. Data Analysis and Interpretation: Analyze and interpret complex data to identify patterns, trends, and insights that inform business decisions. 3. Collaborate with Cross-Functional Teams: Work closely with data engineers, DevOps engineers, and QA engineers to ensure seamless integration of machine learning and deep learning models into larger systems. 4. Architecture and Design: Design and architect scalable and efficient machine learning and deep learning systems, ensuring scalability, efficiency, and maintainability. 5. Mentorship and Guidance: Mentor and guide junior data scientists, providing technical guidance and best practices for machine learning and deep learning development. 6. Staying Up-to-Date with Industry Trends: Keep up-to-date with the latest developments in machine learning, deep learning, and related technologies, applying this knowledge to drive innovation and improvement. 7. Evaluate and Implement Emerging Technologies: Evaluate and implement emerging technologies such as transformer-based models, graph neural networks, and other advanced techniques to stay ahead of the competition.

AI/ML-focused Software Developer with 3+ YOE in SDLC and 1+ year in conversational AI (speech-to-text, emotion recognition, agentic systems). Skilled in fine-tuning LLMs/SLMs, RAG, quantization, and distillation for production use. R & D Required Candidate profile Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs. Background in agent-based modeling, RL, GenAI. Holds CS/AI degrees with contributions via publications or open-source work.

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 35046 We know foods importance in peoples lives the power it has to bring people, families, and communities together. We aim to bring enjoyment to people s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd "

We are looking for a data scientist to join our existing team of data analysts/ scientists. You must be a storyteller and passionate about Machine Learning, Deep Learning, Computer Vision, NLP and big data technologies. You will also be responsible for end to end model deployment in Cloud. You must have proficiency in AWS Cloud Services. It is desirable to have some exposure to other cloud services like MS Azure or Google Cloud Platform. Development and enhancement of machine learning and statistical models. Required Experience, Skills and Qualifications: Minimum 2 years of Data Science experience is mandatory. Proficiency in working with Python, R, SQL. Experience with both Machine Learning and Deep Learning algorithms. must have some experience working with Scikit Learn, TensorFlow, Keras, OpenCV and NLTK libraries in Python. Liaise with members of the team. Must be flexible to work on different projects across a range of industries such as retail, banking, insurance and travel. Strong mathematical and statistical skills and understanding, not only how but why. Proven ability to lead a project from inception to end deployment stage. Perks and Benefits: Salary will be discussed according to the current CTC.

Develop intelligent AI agents using LLaMA-based models with agentic behavior (memory, planning, reflection, tool use). Architect and implement modular agentic frameworks using open-source libraries (e.g., LangChain, AutoGen, OpenAgents).