1810 Keras Jobs - Page 5

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description AI Architect Pune/Noida/Bangalore, India As an AI Architect, you will lead the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will report to the Director of Enterprise Architecture and work in a hybrid capacity from our Pune, India office. In this role, you will collaborate with cross-functional teams—including data scientists, engineers, and business leaders—to ensure AI systems are scalable, secure, and ethically aligned with organizational goals. Your Responsibilities Architect and implement AI solutions: Design and oversee end-to-end AI architectures that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability. Lead cross-functional delivery teams: Guide data scientists, engineers, and business stakeholders through the full AI solution lifecycle—from ideation and prototyping to production deployment and monitoring. Evaluate and recommend technologies: Assess AI/ML platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, cloud AI services) to ensure alignment with business needs and technical feasibility. Establish best practices: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. Mentor and evangelize: Provide technical leadership and mentorship to junior architects and data professionals, while promoting AI adoption and architectural vision across the organization. The Essentials – You Will Have A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of experience designing and implementing AI architectures in production environments. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML). Strong programming skills in Python, R, Java, or similar languages. Deep understanding of data structures, algorithms, and software engineering best practices. Demonstrated experience leading complex AI projects with cross-functional teams. Proven track record of delivering AI solutions that drive business outcomes. Experience with ethical AI practices and compliance with data protection regulations. The Preferred – You Might Also Have Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments. Familiarity with MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. Strong problem-solving skills and the ability to translate business requirements into scalable technical solutions. Experience mentoring and developing talent within AI or data science teams. What We Offer Our benefits package includes … Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office. Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description AI Architect Pune/Noida/Bangalore, India As an AI Architect, you will lead the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will report to the Director of Enterprise Architecture and work in a hybrid capacity from our Pune, India office. In this role, you will collaborate with cross-functional teams—including data scientists, engineers, and business leaders—to ensure AI systems are scalable, secure, and ethically aligned with organizational goals. Your Responsibilities Architect and implement AI solutions: Design and oversee end-to-end AI architectures that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability. Lead cross-functional delivery teams: Guide data scientists, engineers, and business stakeholders through the full AI solution lifecycle—from ideation and prototyping to production deployment and monitoring. Evaluate and recommend technologies: Assess AI/ML platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, cloud AI services) to ensure alignment with business needs and technical feasibility. Establish best practices: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. Mentor and evangelize: Provide technical leadership and mentorship to junior architects and data professionals, while promoting AI adoption and architectural vision across the organization. The Essentials – You Will Have A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of experience designing and implementing AI architectures in production environments. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML). Strong programming skills in Python, R, Java, or similar languages. Deep understanding of data structures, algorithms, and software engineering best practices. Demonstrated experience leading complex AI projects with cross-functional teams. Proven track record of delivering AI solutions that drive business outcomes. Experience with ethical AI practices and compliance with data protection regulations. The Preferred – You Might Also Have Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments. Familiarity with MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. Strong problem-solving skills and the ability to translate business requirements into scalable technical solutions. Experience mentoring and developing talent within AI or data science teams. What We Offer Our benefits package includes … Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office. Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description AI Architect Pune/Noida/Bangalore, India As an AI Architect, you will lead the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will report to the Director of Enterprise Architecture and work in a hybrid capacity from our Pune, India office. In this role, you will collaborate with cross-functional teams—including data scientists, engineers, and business leaders—to ensure AI systems are scalable, secure, and ethically aligned with organizational goals. Your Responsibilities Architect and implement AI solutions: Design and oversee end-to-end AI architectures that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability. Lead cross-functional delivery teams: Guide data scientists, engineers, and business stakeholders through the full AI solution lifecycle—from ideation and prototyping to production deployment and monitoring. Evaluate and recommend technologies: Assess AI/ML platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, cloud AI services) to ensure alignment with business needs and technical feasibility. Establish best practices: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. Mentor and evangelize: Provide technical leadership and mentorship to junior architects and data professionals, while promoting AI adoption and architectural vision across the organization. The Essentials – You Will Have A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of experience designing and implementing AI architectures in production environments. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML). Strong programming skills in Python, R, Java, or similar languages. Deep understanding of data structures, algorithms, and software engineering best practices. Demonstrated experience leading complex AI projects with cross-functional teams. Proven track record of delivering AI solutions that drive business outcomes. Experience with ethical AI practices and compliance with data protection regulations. The Preferred – You Might Also Have Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments. Familiarity with MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. Strong problem-solving skills and the ability to translate business requirements into scalable technical solutions. Experience mentoring and developing talent within AI or data science teams. What We Offer Our benefits package includes … Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office. Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking a passionate and skilled AI/ML Engineer to join our cutting-edge Extended Reality (XR) Software team. In this role, you will work on next-generation XR products that blend the physical and digital worlds, leveraging artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences. You will collaborate with cross-functional teams of researchers, engineers, and designers to build real-time AI/ML software optimized for XR platforms. A strong background in C++ or embedded firmware development is essential, as you will be working close to hardware and performance-critical systems. Key Responsibilities Design, develop, and optimize AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding. Implement real-time inference pipelines on embedded or edge devices. Collaborate with firmware and hardware teams to integrate ML models into XR systems. Analyze system performance and optimize for latency, power, and memory. Stay up to date with the latest research and trends in AI/ML and XR technologies. Contribute to the full lifecycle of product development"”from prototyping to production. Required Qualifications Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. 1"“10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development . Solid understanding of machine learning fundamentals and experience with frameworks like TensorFlow , PyTorch , or ONNX . Experience with deploying ML models on edge devices Familiarity with XR technologies (AR/VR/MR), sensor data processing, or 3D spatial computing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title: AI Engineer Location: Hyderabad,Chennai,Bangalore Experience: 3 - 6 Years Contact Informations: Click here to upload your CV / Resume We accept PDF, DOC, DOCX, JPG and PNG files SUBMIT APPLICATION Verification code successfully sent to registered email Invalid Verification Code! Thanks for the verification! Our support team will contact you shortly!.

About The Role : Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How well support you

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities About JSM Team Jira Service Management is one of the marquee products of Atlassian. Through this solution, we are helping technical and non-technical teams centralize and streamline service requests, respond to incidents, collect and maintain knowledge, manage assets and configuration items, and more. Specifically this team within JSM works on using assitive AI to automate IT operational tasks, troubleshoot problems, and reduce mental overload for oncall engineers and alike. By weaving these capabilities into our product we revolutionise AIOps by moving from a traditional reactive troubleshooting-based system to a proactive problem-solving approach What You Will Do As a Principal Engineer on the JSM team, you will get the opportunity to work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI (Mean time to identify). You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. In This Role, You'll Get The Chance To Shape the future of AIOps: Be at the forefront of innovation, shaping the next generation of AI-powered operations tools that predict, prevent, and resolve IT issues before they impact our customers Master Generative AI: Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans Become a machine learning maestro: Hone your skills in both supervised and unsupervised learning, building algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance Collaborate with diverse minds: Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise Make a tangible impact: Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward. Routinely tackle complex architectural challenges, spar with principal engineers to build ML pipelines and models that scale for thousands of customers Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems Our tech stack is primarily Python/Java/Kotlin built on AWS. On your first day, we’ll expect you to have Fluency in Python Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP. Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas Good Understanding of Machine Learning project lifecycle Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models ) Familiarity with MLOps and experience with scaling and deploying Machine Learning models It would be great, but not required if you have Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks). Experience with MLOps tools ( MLflow, Tecton, Pinecone, Feature Stores ) Experience with AIOps or related fields like IT automation or incident management. Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking). Experience with using OpenAI LLMs. Qualifications Compensation Skills At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $199,400 - $265,800 Zone B: $179,400 - $239,200 Zone C: $165,500 - $220,600 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

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 : Machine Learning Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop 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 on integrating generative AI models into various applications, which may include deep learning, neural networks, chatbots, and image processing. Collaborating with cross-functional teams, you will contribute to the advancement of AI technologies and their practical applications in real-world scenarios, driving innovation and efficiency within the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques to ensure high-quality input for machine learning models. Additional Information:- The candidate should have minimum 18 years of experience in Machine Learning.- 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 : Data Science 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various technologies, including deep learning, neural networks, and image processing, while also exploring the integration of generative AI models into your projects. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that 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 cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Strong understanding of machine learning algorithms and their applications.- Experience in developing and deploying AI models in production environments.- Familiarity with programming languages such as Python or R for data analysis and model development. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About FirstsourceFirstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Analytics and Data Science Delivery Responsibilities Lead Roles & Responsibilities We are seeking a Delivery Leader for Analytics and Data Science who can manage programs, from conceptualization to execution, across various domains including Machine Learning, Natural Language Processing (NLP), Forecasting, Experimental Design, Root Cause Analysis (RCA), and Data Visualization.Below are some of the core responsibilities associated with the role : Delivery : End-to-end delivery of Data Science Projects, POCs and other form of engagementsImplement and enforce best practices in model development, data processing, and deploymentEnsure efficient resource allocation, effective budget management, and adherence to project timelinesLead discussions with leadership to align business objectives, project plans, and address challenges proactively.Provide both functional and technical leadership to guide and mentor the team effectively Consulting : Identifying Analytics opportunities across client and internal operationsAssessment of Data & Tech readiness for deploying Analytical solutionsPreparing roadmap in terms of people, tools and capabilities that would be required for development Pre-Sales : Providing Delivery inputs (technical approach, pricing and implementation roadmap) for client RFPs/RFIsBuilding demonstratable capabilities Mandatory Qualifications & Skills 15+ Years of experience in Core Analytics and 5+ Years of experience in leading Analytics Programs Expert in Machine Learning Tools & Methodologies (such as Regression, Classification, Forecasting etc.) Expert in delivering projects in Natural Language Processing and allied areasExposure to Deep Learning frameworks such as Keras, Tensorflow etc. High degree of familiarity with at least one of the Cloud Technologies (e.g. – Azure, AWS, GCP etc.)Exposure to at least one of BI Stacks – Power BI/TableauHands-on experience across Python & SQL for Analytics development Experience in popular deployment methodologies and MLOps principles Experience in conducting statistical tests and designing experiments for causal inference Preferred Skills Familiarity with Generative AI solutions leveraging proprietary and Open-Source toolsExperience in developing and deploying Computer Vision solutions Familiarity with Data Engineering tools and methodologies (ETL, Data Pipelines etc.)Knowledge of Healthcare (Provider & Payer) & BFS Industry will be advantageous

Role Overview: As a Senior AI/ML Engineer, you will lead the design, development, and deployment of advanced machine learning models and AI solutions. Your expertise will drive innovation across various applications, from natural language processing (NLP) to deep learning and recommendation systems. You will collaborate with cross-functional teams to integrate AI capabilities into products and services, ensuring scalability, efficiency, and ethical standards. Key Responsibilities: Model Development & Deployment: Lead the end-to-end lifecycle of machine learning models, including data collection, preprocessing, model selection, training, evaluation, and deployment. Implement deep learning architectures (e.g., CNNs, RNNs, Transformers) and NLP models to solve complex problems. Optimize models for performance, scalability, and real-time inference. Collaboration & Leadership: Mentor and guide junior engineers and data scientists, fostering a culture of continuous learning and innovation. Collaborate with product managers, software engineers, and data engineers to align AI solutions with business objectives. Communicate complex technical concepts to both technical and non-technical stakeholders. Research & Innovation: Stay abreast of the latest advancements in AI/ML research and industry trends. Evaluate and integrate emerging technologies and methodologies to enhance model performance and capabilities. Contribute to the development of AI strategies and roadmaps. Ethics & Compliance: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and organizational standards. Implement fairness, accountability, and transparency in AI models to mitigate bias and ensure equitable outcomes. Technical Skills & Qualifications: Programming Languages: Proficiency in Python, with experience in libraries such as NumPy, Pandas, and Scikit-learn. Familiarity with other languages like Java, Scala, or C++ is a plus. Machine Learning Frameworks: Expertise in frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with MLOps tools and practices for model versioning, deployment, and monitoring. Data Engineering: Strong understanding of data pipelines, ETL processes, and working with large-scale datasets. Experience with SQL and NoSQL databases, as well as cloud platforms like AWS, GCP, or Azure. Soft Skills: Excellent problem-solving abilities and analytical thinking. Strong communication and interpersonal skills. Ability to work effectively in a collaborative, fast-paced environment. Educational Background: Bachelor's or master's degree in computer science, data science, machine learning, or a related field. Ph.D. is advantageous but not required. Preferred Experience: 8+ years in AI/ML engineering or related roles, with a proven track record of deploying production-grade models. Experience in specific domains such as healthcare, finance, or e-commerce is a plus. Why Join Us: Opportunity to work on cutting-edge AI projects with a talented team. Collaborative and inclusive work culture. Competitive compensation and benefits package. Continuous learning and professional development opportunities.

SEAMEDU - A SSISTANT PROFESSOR – DATA SCIENCE & ARTIFICIAL INTELLIGENCE This position is for Seamedu - School of Pro Expressionism, a division of Seamless Education and Services Pvt. Ltd (SEAS) which has 2 divisions: Seamedu - School of Pro Expressionism is a Media, Technology and Management school producing world class talent for the industry. Seamedu is an institution that nurtures the creativity of the students. Seamedu has been awarded by the Government of Maharashtra in IT & IT related Fields- Multimedia/ Entertainment/ Gaming. Seamedu has campuses in Pune, Gurgaon and Bangalore. To know more about us, please visit – www.seamedu.com. Job Title / Designation: A SSISTANT PROFESSOR – DATA SCIENCE & ARTIFICIAL INTELLIGENCE Job Description: We seek a passionate and experienced Senior Faculty / Assistant Professor to join our dynamic Information Technology programs. You will play a key role in shaping the future generation of IT professionals by delivering engaging and challenging courses that bridge the gap between theory and practice. Responsibilities: · Develop and deliver a range of high-quality courses in Artificial Intelligence, Machine Learning and Data Science at intermediate and advanced levels. Subjects include but are not limited to: o Deep Learning and Neural Networks o Predictive Analytics o Time Series Analysis, Recommender Systems, Data Mining Techniques o AI/ML Algorithms o Data Analytics using SQL, Apache Spark, and Big Data Analytics · Utilize interactive teaching methods with hands-on projects and case studies to enhance critical thinking and real-world problem-solving. · Develop engaging syllabi, and course materials and provide hands-on support to students as they work on projects, guiding them through the creative process and problem-solving to achieve their goals. · Stay up-to-date with the latest advancements in AI, ML, and Data Science. Incorporate cutting-edge tools and frameworks such as TensorFlow, Keras, Scikit-Learn, R, and Cloud-based AI platforms (AWS, Azure AI). · Work with faculty to enhance the AI/ML/Data Science curriculum, reflecting emerging technologies and industry needs. · Participate in departmental and university-wide committees and activities. · Participate in recruitment activities and advise students on career opportunities in AI, machine learning, and data science. · Continuously improve your teaching skills through professional development and stay updated on the latest advancements to provide relevant education to your students. Minimum/ Work Experience Required: 4-7 years Annual CTC : Not a Constraint for right person Location(s) of Job: Ajeenkya D Y Patil University, Pune Minimum Qualification Requirements: · Master's degree in Computer Science, Information Technology, or a related field. · Strong understanding of current trends and technologies in IT. · Excellent communication, interpersonal, and organizational skills. · Ability to develop and deliver engaging and effective lectures. · Commitment to continuous learning and professional development. Any Other Skillset : · Ph.D. in a relevant field. · Experience in curriculum development and program administration.\ · Demonstrated experience teaching courses within the areas covered by the Bachelor's degree programs. · Familiarity with cutting-edge technologies like NLP, Computer Vision, and Reinforcement Learning · Published research in AI/ML or data science, or a strong research background · Experience with advanced data visualization tools such as Tableau, Power BI, or Data Studio Also looking for ASSISTANT PROFESSOR- INFORMATION SECURITY and ASSISTANT PROFESSOR- Cloud Technology.

About Us: E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals. Our client base is made up of digital agencies that rely on us to solve bandwidth issues, reduce overheads, and boost profitability. We need driven, tech-savvy professionals like you to help us deliver next-gen solutions. If you're someone who dreams big and thrives in innovation, E2M has a place for you. Role Overview: As an AI Executor/AI Developer/Python Developer – AI Implementation Specialist/AI Developer , you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions. Key Responsibilities: Design and develop backend solutions using Python, with a focus on AI-driven features. Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain. Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models. Translate business needs into AI use cases and deliver working solutions. Collaborate with product, engineering, and data teams to define integration workflows. Develop REST APIs and micro services to deploy AI components within applications. Maintain and optimize AI systems for scalability, performance, and reliability. Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement. Required Skills & Qualifications: Minimum 2+ years of overall experience, including at least 1 year in AI/ML integration and strong hands-on expertise in Python for backend development. Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras. Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face). Solid understanding of REST APIs, microservices, and integration practices. Ability to work independently in a remote setup with strong communication and ownership. Excellent problem-solving and debugging capabilities.

About Position: Persistent is scaling up its global Digital Trust practice. Digital Trust encompasses the domains of Data Privacy, Responsible AI (RAI), GRC (Governance, Risk & Compliance), and other related areas. This is a rapidly evolving domain globally that is at the intersection of technology, law, ethics, and compliance. Team members of this practice get an opportunity to work on innovative and cutting-edge solutions. We are looking for a highly motivated and technically skilled Responsible AI Testing Analyst with 1–3 years of experience to join our Digital Trust team. In this role, you will be responsible for conducting technical testing and validation of AI systems or agents against regulatory and ethical standards, such as the EU AI Act, AI Verify (Singapore), NIST AI RMF, and ISO 42001. This is a technical position requiring knowledge of AI/ML models, testing frameworks, fairness auditing, explainability techniques, and regulatory understanding of Responsible AI. Role: AI Testing Analyst Location: All PSL Location Experience: 1-3 years Job Type: Full Time Employment What You’ll Do: Perform technical testing of AI systems and agents using pre-defined test cases aligned with regulatory and ethical standards. Conduct model testing for risks such as bias, robustness, explainability, and data drift using AI assurance tools or libraries. Support the execution of AI impact assessments and document the test results for internal and regulatory audits. Collaborate with stakeholders to define assurance metrics and ensure adherence to RAI principles. Assist in setting up automated pipelines for continuous testing and monitoring of AI/ML models. Prepare compliance-aligned reports and dashboards showcasing test results and conformance to RAI principles. Expertise You’ll Bring : 1 to 3 years of hands-on experience in AI/ML model testing, validation, or AI assurance roles. Experience with testing AI principles such as fairness, bias detection, robustness, accuracy, explainability, and human oversight. Practical experience with tools like AI Fairness 360, SHAP, LIME, What-If Tool, or commercial RAI platforms Ability to run basic model tests using Python libraries (e.g., scikit-learn, pandas, numpy, tensorflow/keras, PyTorch). Understanding of regulatory implications of high-risk AI systems and how to test for compliance. Strong documentation skills to communicate test findings in an auditable and regulatory-compliant manner. Preferred Certifications (any one or more): AI Verify testing framework training (preferred) IBM AI Fairness 360 Toolkit Certification AI Certification (Google Cloud) – Vertex AI + SHAP/LIME ModelOps/MLOps Monitoring with Bias Detection – AWS SageMaker / Azure ML / GCP Vertex AI TensorFlow Developer / Python for Data Science and AI / Applied Machine Learning in Python Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

AI/ML Engineer Responsibilities: - Design, build, and deploy advanced machine learning models and algorithms to solve complex problems in various domains, such as natural language processing, computer vision, and predictive analytics. - Collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to identify opportunities for leveraging company data to improve business outcomes. - Perform data mining and feature extraction using advanced statistical and machine learning techniques. - Evaluate and validate the performance of machine learning models using appropriate metrics and techniques. - Optimize and fine-tune machine learning models for optimal performance in production environments. - Stay up-to-date with the latest advancements in machine learning and artificial intelligence research. - Contribute to the development of best practices in machine learning and share knowledge with peers and junior team members. - Provide technical leadership and mentoring to other team members as needed. Requirements: - 4+ years of experience in developing and deploying machine learning models in a professional setting. - Strong understanding of various machine learning algorithms, such as linear regression, logistic regression, decision trees, SVM, neural networks, ensemble methods, and reinforcement learning. - Demonstrated experience in working with large datasets and using big data technologies, such as Hadoop, Spark, and distributed computing. - Proficient in programming languages, such as Python. - Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn. - Familiarity with data visualization tools, such as Tableau, Matplotlib, or D3.js. Preferred Qualifications: - Experience in working with cloud platforms, such as AWS, Google Cloud, or Azure. - Knowledge of natural language processing, computer vision, or deep learning techniques. - Experience developing end-to-end machine learning pipelines, from data gathering and preprocessing to model deployment and monitoring.

Job Title: AI/ML Engineer Experience: 3+ Years Location: Noida (Hybrid – 2 days/week) We are hiring an experienced AI/ML Engineer to build intelligent AI agents and chatbots using structured and unstructured data. The ideal candidate should have strong skills in Python , Machine Learning , Deep Learning , and NLP , along with experience using frameworks like TensorFlow , PyTorch , and Scikit-learn . Key Skills: Python, Java/C++/R (optional) ML/DL algorithms (regression, neural nets, etc.) NLP (text classification, sentiment analysis) Data analysis & visualization (Pandas, NumPy) AI frameworks: TensorFlow, Keras, PyTorch, Scikit-learn Nice to Have: LLMs, Vector DBs, RAG pipelines Model deployment, MLOps

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle and lead challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using machine learning, time series forecasting, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, and business representatives from chemical, lubricants, and fuels value chains globally to develop, deliver, and apply data-driven tools, models, or software to support our businesses. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Master’s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 5 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Deep conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI. Extensive knowledge and experience in code design, testing, and ML Ops practices. Specialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI. Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) • Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. 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As an AI/ML Developer at our company in Meerut, you will utilize your 2 to 5 years of hands-on experience to design, build, and deploy machine learning models. Your main responsibilities will include developing models for various tasks like classification, regression, clustering, or NLP/computer vision. You will collaborate with cross-functional teams to understand business requirements and implement AI/ML solutions accordingly. Your expertise in Python libraries such as Pandas, NumPy, and Scikit-learn will be crucial in cleaning, preprocessing, and analyzing large datasets. Additionally, you will work with deep learning frameworks like TensorFlow, PyTorch, or Keras to fine-tune models for optimal performance, accuracy, and scalability. Developing APIs or services for model deployment and monitoring post-deployment performance will also be part of your responsibilities. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Your strong proficiency in Python and experience with ML algorithms and evaluation metrics will be essential. Exposure to deep learning frameworks and tools like Flask, FastAPI, Docker, or AWS SageMaker will be advantageous. Knowledge of SQL, NoSQL databases, version control tools like Git, and cloud platforms like AWS/GCP/Azure will also be beneficial. Keeping yourself updated with the latest advancements in AI/ML research and techniques is encouraged to contribute effectively to our projects. If you are passionate about leveraging AI and ML technologies to drive innovation and solve real-world problems, we invite you to join our dynamic team and make a meaningful impact in the field.,

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include Python for Data Science, Statistics and Linear Algebra Basics, Machine Learning (Supervised, Unsupervised, Ensemble Techniques), Deep Learning (ANN, CNN, RNN, etc.), Natural Language Processing (NLP), Model Deployment (Flask, Streamlit, etc.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

Software Engineer Dev Python AI/ML REQ/0749 Job Id: REQ/0749 Location: Chennai Experience: 3 to 8 Years CTC: 10L to 18L Date Posted: 15-Jul-2025 Employment Type: Permanent No. of Openings: 6 Looking for an ML Engineer to design & implement AI/ML models using Python, TensorFlow, PyTorch, Scikit-learn. Optimise models, run experiments, transform data via classification/clustering, and stay updated on the latest AI/ML advancements. Desired Candidate Profile 3 years of experience in Software Design & Development in Python Makes pragmatic technical decisions beyond immediate scope Strong in debugging complex issues and mentoring junior engineers Solid understanding of Data Structures and OOP Proficient in TDD, Unit & Integration testing Experience with Databases, Statistics, and Data Science Skilled in Python; can write robust, testable code Hands-on with ML frameworks: Keras, PyTorch, scikit-learn AutoML experience is a plus Familiar with AI Cloud platforms: H2O, DataRobot, AWS, Azure Education/Specific Knowledge Bachelors or Above Degree in any discipline Key Skills Python, AI/ML, Keras, PyTorch, scikit-learn, H2O, DataRobot, AWS, Azure, FastAPI/Flask, MySQL or Oracle or PostgreSQL, XML, Unit Testing Highlights To know the benefits of Sysvine please visit the bottom of this page. We are open to considering candidates who are on a long break but are still passionate about restarting their careers. Our Benefits India Annual Team Trips Happy Fridays GameVine - Annual Games AimVine - Annual Party Social Responsibilities - Tree Planting, Volunteering for Orphans, Gadget Donations, Blood Donations Camps, Flood Relief Support, Cyclone Relief Support Health Campaigns Birthday Celebrations First Aid & Fire Safety Training Guest Speakers Benefits Accidental Insurance Family Health Insurance Parental Health Insurance Sick Leave Casual Leave Privilege Leave Floating Leave Holidays Short Term Disability Insurance Long Term Disability Insurance Employee Referral Bonus Product Referral Bonus Sodexo Passes Remote Working Flexible Working Hours Maternity Benefit Leave Encashment Tuition Reimbursement Niceties Welcome Kit MacBook Pro iPhones and Android Phones for Mobile Departments Coffee and Biscuits Recreation Room Resting Room Fitness Programmes and Equipment International Traditional Day Personal Tax Management Sessions Shuttle Services from/to Train Big Monitor Recognition Performance Bonus Extra Mile Recognition (EMR) Annual Achievement Awards Special Bonuses Overseas Deputations Leadership Training Programs Technical Conferences Engaging Ethical Diverse Team Lunches D-Day (Difficult Day Policy) I-Day (Inconvenient Day Policy) Technical Conferences Personal Financial Management Sessions Leadership Training Programs Tax Saving Sessions Guest Speakers Benefits Health Insurance Unemployment Insurance Paid Time Off Floating Leaves 8 Holidays Short Term Disability Insurance Workmen Compensation Employee Referral Bonus Product Referral Bonus CalSavers Tuition Reimbursement Recognition Performance Bonus Extra Mile Recognition (EMR) Annual Achievement Awards Special Bonuses Technical Conferences

Locations: Bangalore/ Gurgaon Role and Responsibilities: SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications: Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

Are you ready to shape the future of learning through cutting-edge AI? As a Principal AI/Machine Learning Engineer at Skillsoft, you’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with internal and external teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Join us in redefining eLearning for the world’s leading organizations! Responsibilities : H ands-on Principal AI/ML engineer, driving technical innovation Partner with product owners to define visionary AI features Collaborate cross-functionally to assess impacts of new AI capabilities Consult and guide teams to productize prototypes with provable accuracy Lead research and selection of COTS and development of in-house AI/ML technologies Evaluate foundational models and emerging AI advancements Explore new technologies and design patterns through impactful prototypes Present research and insights to inspire innovation across teams Guide, d esign and test ing of agentic workflows and prompt engineering Fine-tune models, validate efficacy with metrics, and ensure reliability Evaluate and g uide synthetic data generation for training and validation Design and guide scalable data pipelines for AI/ML training and inference Oversee data analysis, curation, and preprocessing Collaborate with external partners on AI development and integration Establish AI design best practices and standards for alignment Contribute to patentable AI innovations Utilize and apply generative AI to increase productivity for yourself and the organization Environment, Tools & Technologies: Agile/Scrum O perating Systems – Mac , Linux JavaScript , Node.js , Python PyTorch , Tensorflow , Keras , OpenAI , Anthropic, and friends Langchain , Langgraph , etc. APIs GraphQL , REST Docker, Kubernetes Amazon Web Services (AWS) , MS Azure Sagemaker , NIMS SQL : Postgres RDS NoSQL : Cassandra, Elasticsearch ( VectorDb ) M essaging – Kafka, RabbitMQ, SQS Monitoring – Prometheus, ELK GitHub , IDE ( your choice ) Skills & Qualifications: 8+ Years of Relevant Industry Experience ( with a Master’s Degree Preferred) Experience with LLMs and fine-tuning foundation models Development experience including unit t esting Design and documentation experience of new APIs, data models, service interactions Familiarity with and ability to explain : Agentic AI development and testing AI s ecurity and data privacy concerns Synthetic data generation and concerns Foundation model fine-tuning Generative AI prompt engineering and challenges Attributes for Success : Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor other developers Passionate, curious, open to new ideas , and ability to research and learn new technologies

We are looking for an experienced Python Developer with expertise in AI and ML. The ideal candidate should have a strong background in data-driven development, model deployment, and good English communication for international client interaction.

We are seeking a proactive Computer Vision Engineer who excels in dynamic environments and has a passion for developing practical AI systems. If you have a keen interest in working with video, visual data, cutting-edge ML models, and resolving impactful challenges, we are eager to connect with you. This position merges deep learning, computer vision, and edge AI, focusing on constructing scalable models and intelligent systems to drive our advanced sports technology platform. Your responsibilities will include designing, training, and refining deep learning models for real-time object detection, tracking, and video comprehension. You will be responsible for implementing and deploying AI models utilizing frameworks such as PyTorch, TensorFlow/Keras, and Transformers. Working with video and image datasets using tools like OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib will be a key aspect of your role. Collaborating closely with data engineers and edge teams to deploy models on real-time streaming pipelines will also be part of your duties. Additionally, you will need to optimize inference performance for edge devices such as Jetson and T4, and manage video ingestion workflows. You will also be expected to rapidly prototype new concepts, perform A/B tests, and validate enhancements in real-world scenarios. Clear documentation of processes, effective communication of findings, and contributing to the expansion of our AI knowledge base are essential aspects of this role. To be successful in this position, you should possess a strong command of Python and have familiarity with C/C++. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras is required. A solid understanding of YOLO, Transformers, or OpenCV for real-time visual AI is essential. Proficiency in data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc., is also necessary. A good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques is expected. Exposure to video streaming workflows like GStreamer, FFmpeg, and RTSP will be advantageous. The ability to write clean, modular, and efficient code is crucial for this role. Experience in deploying models in production, particularly on GPU/edge devices, is highly valued. An interest in reinforcement learning, sports analytics, or real-time systems will be considered a plus. An undergraduate degree in Computer Science, Artificial Intelligence, or a related field is required, while a Master's or PhD is preferred. A strong academic background will be beneficial for this position.,