1862 Keras Jobs - Page 16

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Experience - 2 to 12 years Location - Bangalore General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. Responsibilities Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips. Validate the performance and accuracy of your software through detailed analysis and test of the use cases. Minimum Qualifications Software development experience using C/C++ and/or Python Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Experience in developing applications using Inter-Process Communication (IPC), like AIDL or SOME/IP. Strong communication skills (verbal, presentation, written) Preferred Qualifications Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware. Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, and other NN architectures. Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras). Software development experience with Java Ability to collaborate across a globally diverse team and multiple interests Education Requirements RequiredBachelor's degree in Engineering, Information Systems, Computer Science, or related field. PreferredBachelor's Computer Science, Computer Engineering, or Electrical Engineering 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.

All Peoples Church & World Outreach is looking for AI/ML Software Engineer to join our dynamic team and embark on a rewarding career journey Developing and directing software system validation and testing methods. Directing our software programming initiatives Overseeing the development of documentation. Working closely with clients and cross-functional departments to communicate project statuses and proposals. Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems. Managing the software development lifecycle. Monitoring system performance. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans. Applying mathematics and statistics to problem-solving initiatives. Applying best practices and standard operating procedures. Creating innovative solutions to meet our companys technical needs. Testing new software and fixing bugs. Shaping the future of our systems.

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.

Job Title - Data Engineer Sr.Analyst ACS Song Management Level:Level 10- Sr. Analyst Location:Kochi, Coimbatore, Trivandrum Must have skills:Python/Scala, Pyspark/Pytorch Good to have skills:Redshift Job Summary Youll capture user requirements and translate them into business and digitally enabled solutions across a range of industries. Your responsibilities will include: Roles and Responsibilities Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals Solving complex data problems to deliver insights that helps our business to achieve their goals. Source data (structured unstructured) from various touchpoints, format and organize them into an analyzable format. Creating data products for analytics team members to improve productivity Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline. Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions Preparing data to create a unified database and build tracking solutions ensuring data quality Create Production grade analytical assets deployed using the guiding principles of CI/CD. Professional and Technical Skills Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies. Experience in one of the many BI tools such as Tableau, Power BI, Looker. Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs. Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3), Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse. Additional Information Experience working in cloud Data warehouses like Redshift or Synapse Certification in any one of the following or equivalent AWS- AWS certified data Analytics- Speciality Azure- Microsoft certified Azure Data Scientist Associate Snowflake- Snowpro core- Data Engineer Databricks Data Engineering About Our Company | Accenture (do not remove the hyperlink)Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Job Title - S&C Global Network - AI - Retail - AI/Gen AI Retail Analyst Management Level:11 - Analyst Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Strong understanding of retail industry Ability to work with large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques. Proficiency in supervised and unsupervised learning algorithms Proficiency in Python, with experience using libraries such as pandas, scikit-learn, and NumPy. Exposure to deep learning frameworks like TensorFlow, PyTorch, or Keras. Basic understanding of LLMs, NLP, and prompt engineering. Good to have skills: Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large-scale data. Familiarity with transformer-based models such as BERT, GPT, and T5 for understanding and generating human language. Experience with Generative Pre-trained Transformers (GPT) Experience with Data Visualization Tools Job Summary : We are looking for a highly motivated AI / GenAI Retail Analyst to join our data science and AI team. In this role, you will play a key part in building and implementing AI-driven solutions that enhance customer experience, streamline operations, and drive business outcomes in the retail sector. You'll work closely with cross-functional teams to extract insights from data and support the development of generative AI applications. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector. Focus on the creation of AI models that can help in wide range of use cases across customer lifecycle, personalized customer experiences, optimize pricing, and product assortment. Analyze and preprocess large datasets from various sources (sales data, customer data, inventory data) to build effective AI models. Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. For example, identifying cross-selling opportunities or optimizing product assortments. Build dashboards, visualizations, and reports to communicate findings, model performance, and business impact to stakeholders. Professional & Technical Skills : Expertise in machine learning, natural language processing (NLP), and generative AI models. Experience with platforms like TensorFlow, PyTorch, and OpenAI technologies. Knowledge of AI ethics and responsible AI practices. Additional Information: About Our Company | AccentureQualification Experience: Minimum 1-2 year(s) of relevant experience is required Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field

Job Title - S&C Global Network - AI - CMT ML Ops Ass Manager Management Level:8- Associate Manager Location:Open Must-have skills: AI Architecture/ Gen AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. AI Architecture strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 6+ years Educational Qualification: Btech/ BE

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 12 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 generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are robust and scalable, addressing the needs of diverse stakeholders. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to drive efficiency and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions that meet production standards. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - S&C Global Network - AI - CMT AI ML Consultant Management Level:9- Consultant Location:Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4+ years Educational Qualification: Btech/ BE

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.

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

About Us: At Soul AI, we develop AI solutions with real-world benefits. Built by a top-tier team from IITs and IIMs, and operating out of SF and Hyderabad, our AI team tackles meaningful problems at scale. Were hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities:Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications:2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs.

At Cinque Technologies, the Compliance Technical Consultant reviews, suggests and leads new features and functionalities in the existing AML/CFT products to further scale it in different domains like Banking, Insurance, Travel, Retail, Exchange, etc. in different geographies. Compliance Officer studies the different market demands, trends and facilitates team. This position plays a crucial role in company’s expansion and is evaluated based on the number of new prospective clients provided from multiple domains and geographies and deals finalized with the company. Degree in machine learning or related technical disciplines or equivalent industry experience Deep expertise and practical hands-on skills in multiple machine learning techniques such as Natural Language Processing, Computer Vision, Reinforcement Learning, or Predictive Analytics In-depth knowledge and practical hands-on architecture skills in designing enterprise-grade ML platform that meets the most stringent security, compliance, performance/scalability, and operational requirements Practical hands-on coding skills (e.g., Python, SQL, Java) in developing advanced machine learning algorithms or key components of enterprise-grade machine learning platforms 5+ years of total related industry experience, with 5+ years in leading large-scale machine learning engineering or data science initiatives in a large enterprise setting Participation and contribution at industry AI/ML conferences Practical hands-on experience with industry-leading ML services/products (e.g., AWS AI/ML services) Practical hands-on experience with multiple industry-leading ML frameworks (e.g., TensorFlow, PyTorch, MXNet, Keras, Scikit-Learn) Experience with public clouds Excellent verbal and written communication skills and ability to work with senior executives effectively and navigate complex organizational structure Job Type: Full-time Pay: ₹40,000.00 - ₹90,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Application Question(s): What is your current Salary? What is your Expected Salary? Do you have experience in Fintech or Finance Domain? Experience: AI/ML: 3 years (Required)

Job Description First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities.

Job Title: Data Analytics cum Data Science Trainer Location : South Extension & Preet Vihar, Delhi Job Type : Full-Time/ Part Time | Classroom Training About Us TGC India through it's technical wings Pythontraining.net and Datasciencetraining.co.in is a leading training institute in Delhi, shaping careers in Digital Media, IT, and Emerging Technologies for over 20 years. With state-of-the-art infrastructure and a strong industry connect, we empower students to build successful careers in Data Science, Machine Learning, AI, and more. We are expanding our academic team and looking for a passionate Data Analytics cum Data Science Trainer who can inspire learners and deliver cutting-edge training. Key Responsibilities Deliver classroom training on Data Analytics and Data Science tools and technologies (Python, R, SQL, Power BI, Tableau, Machine Learning, etc.). Teach concepts like data preprocessing, visualization, statistical modeling, and deployment of ML models. Guide students on real-world projects , internships, and portfolio building. Continuously upgrade course content to keep pace with industry trends and tools (including AI & Gen AI apps). Mentor and evaluate students to ensure high success and placement rates. Collaborate with the academic team to create assignments, assessments, and capstone projects. Desired Candidate Profile Education : Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field is preferred but not essential Experience : 2+ years in Data Science/Data Analytics roles or teaching experience. Strong hands-on knowledge of Python , Machine Learning , Pandas , NumPy , Scikit-learn , Power BI/Tableau , and SQL . Knowledge of Deep Learning frameworks (Keras/TensorFlow/PyTorch) is a plus. Excellent communication and presentation skills to deliver training effectively. Passionate about teaching and mentoring students. Why Join TGC India? Opportunity to train on latest tools and technologies including AI & Gen AI apps Work in a modern classroom setup with smart labs and high-tech systems Attractive salary package with incentives based on student success rates Access to continuous learning and certification programs Be a part of Delhi’s top institute for Data Science & Analytics education Perks & Benefits ✅ Competitive Salary ✅ Performance-based incentives ✅ Free access to premium tools & courses for self-learning ✅ Paid leaves and festive holidays ✅ Professional growth opportunities Job Locations South Extension - Delhi Preet Vihar - Delhi Apply Now If you are passionate about teaching and shaping the next generation of Data Scientists, we want to hear from you! Send your CV to info@tgcindia.com or manojk.tgc@gmail.com Whatsapp at 9810031162 (only message) About TGC TGC India is one of Delhi’s most trusted institutes for career training in Data Science, Analytics, Digital Media, Digital Marketing, and more. Join our mission to transform lives through quality education. Job Types: Full-time, Part-time Pay: ₹300,000.00 - ₹450,000.00 per year Expected hours: 16 per week Benefits: Cell phone reimbursement Internet reimbursement Leave encashment Work Location: In person

AI specialists use technology for innovative solutions to complex business issues. Event management company is seeking a talented AI specialist to join the team. This role involves developing and implementing AI models and algorithms to address challenges and improve business operations. Majorly for Instagram reels Responsibilities Responsibilities include designing, developing, and implementing AI models, collaborating with teams, optimizing models, deploying solutions, monitoring performance, and providing technical expertise. The role also involves analyzing data, developing algorithms and neural networks, and training AI models. A comprehensive list of responsibilities is available in the referenced web document. Required skills and qualifications A Bachelor's degree in a relevant field and at least 2 years of experience in AI development are required. A strong understanding of AI, machine learning algorithms, neural networks, and deep learning techniques is essential, along with proficiency in programming languages like Python, R, or Java, and knowledge of AI frameworks (TensorFlow, PyTorch, Keras) and cloud platforms (AWS, Azure, Google Cloud). A comprehensive list of required skills and qualifications is available in the referenced web document. Preferred skills and qualificationsPreferred qualifications include a Master's or Ph.D. in AI, Machine Learning, or Data Science, relevant certifications, and experience with NLP, computer vision, or reinforcement learning Job Type: Full-time Work Location: In person

🤖 Job Title: AI/ML Developer Trainer 📍 Location: [Indore] 🕒 Job Type: Full-time 💰 Salary: ₹30000-40000 ( based on experience ) About the Role: We are seeking an experienced and passionate AI/ML Developer Trainer to train aspiring developers and working professionals in the field of Artificial Intelligence and Machine Learning . The trainer should have strong domain knowledge, practical experience, and the ability to explain complex concepts in a clear and engaging manner. Key Responsibilities: Deliver hands-on training sessions on AI/ML fundamentals and applications Teach key tools and libraries such as Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Explain and guide learners through machine learning algorithms, deep learning, NLP, and model deployment Design and update course materials, projects, assessments, and real-world case studies Provide mentorship and support for capstone projects and job-readiness Conduct live classes, Q&A sessions, workshops, and doubt-clearing sessions (online or offline) Stay updated with the latest trends in AI/ML and integrate them into the curriculum Required Skills: Proficiency in Python and AI/ML libraries (Scikit-learn, TensorFlow, PyTorch, etc.) Strong understanding of supervised/unsupervised learning, neural networks, CNNs, RNNs, etc. Familiarity with data preprocessing, model evaluation, deployment (Flask, Streamlit, FastAPI) Excellent presentation and communication skills Ability to explain technical topics to both beginners and intermediate learners Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, AI/ML, or related field 2+ years of experience as an AI/ML developer or trainer Prior experience in teaching, mentoring, bootcamps, or ed-tech platforms Knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps tools is a plus To Apply: Please send your resume, LinkedIn, and demo session (if available) to [ hr@dflyinternational.com ] Subject Line: Application for AI/ML Trainer – [Your Name]

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As a Generative AI Senior Developer with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 6-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

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 : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.