142 Pattern Recognition Jobs - Page 5

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Machine Learning Good to have skills : NA Minimum 5 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 utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI technology. 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 the team to understand application requirements. - Design and develop applications based on business process requirements. - Configure applications to ensure optimal performance and functionality. - Test and debug code to identify and resolve any issues. - Collaborate with cross-functional teams to integrate applications with other systems. - Provide technical support and troubleshooting for applications. - Stay updated with the latest industry trends and technologies. - Assist in documenting application design, development, and maintenance processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleansing, transformation, and normalization to ensure data quality and integrity - Creation and validation of test data,and predictive modelling like ANN, Gradient Boosting, and K-NN - Knowledge of Predictive analytics and algorithims Additional Information: - A 15 years full-time education is required.

We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Job Location- Pune/ Chennai/ Remote You can schedule with us through Calendly at https: / / calendly.com / bimla-dhirayan / zoom-meeting-virtana Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Qualifications: The ideal candidate must have the following qualifications: 3+ years experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras and TensorFlow

Dear Candidate, We are seeking an AI Software Developer to design and implement intelligent applications using machine learning, deep learning, and natural language processing. Key Responsibilities: Build, train, and deploy AI/ML models for real-world applications. Collaborate with data scientists to convert models into production-ready APIs. Optimize models for performance, scalability, and latency. Integrate AI capabilities into enterprise systems or consumer products. Monitor model performance and update based on new data. Required Skills & Qualifications: Proficiency in Python and frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with AI/ML deployment (e.g., Docker, FastAPI, AWS SageMaker). Knowledge of computer vision, NLP, or recommendation systems. Familiarity with MLOps practices and version control for models. Strong problem-solving and data structure knowledge. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

We, at the LVPEI Center for Innovation, have developed a variety of screening and diagnostic devices Precision imaging systems are crucial components of these devices and the visual information captured here helps the clinician / examiner to decide the status of the eye health To auto-detect and quantify various pathologies of eye we adopt Computer Vision and Machine Learning techniques These developments will help the innovation center to build automated disease detection systems and there by enhance quality of eye care This role gives the candidate an opportunity to work on unique data sets and explore various image processing algorithms and deep learning (algorithms & frameworks) This role majorly involves in organizing data for further analysis, making the models scalable and light-weight to implement them offline on mobile phone platforms Responsibilities Work on translating the computer vision research to its applications in screening and diagnosing eye pathologies. Create novel methods to annotate and organize the patient data for further analysis. Keep UpToDate with the rapid developments in Computer vision and deep learning Incorporate improvements to the model / algorithms design and architecture, leading to increased accuracy in pathology identification. Collaborate with interns at the center to Fastrack the development process. Conceptualize a development task, its dependencies and map out work flows for an assigned project Best practices of software documentation and maintian development logs. Required Skills First-hand experience in working with open source neural networks like ResNet /MobileNet /Inception. Experience of working with at least one among PyTorch / TensorFlow / Keras / MXNet / Theano Strong background in Data Science, data structures, statistics, algorithms like Regression, Classification Sound understanding in the areas of Computer Vision / Pattern Recognition / Image Processing. Online certifications will be an added advantage.

Position Overview: We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Job Location- Pune/ Chennai/ Remote Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Qualifications: The ideal candidate must have the following qualifications: 3+ years experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras and TensorFlow

IoT and Embedded Systems Developer (Rural Technologies Team) @ Amritapuri IoT and Embedded Systems Developer (Rural Technologies Team) @ Amritapuri - Amrita Vishwa Vidyapeetham IoT and Embedded Systems Developer (Rural Technologies Team) @ Amritapuri IoT and Embedded Systems Developer (Rural Technologies Team) @ Amritapuri Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of IoT and Embedded Systems Developer (Rural Technologies Team) . For Details Contact: careers@ammachilabs. org Job Title IoT and Embedded Systems Developer (Rural Technologies Team) Location Kollam , Kerala Required Number 1 Job description As a Developer, you will be responsible for designing, developing, and maintaining innovative IoT solutions and hardware-accelerated systems that serve diverse user needs. You will also contribute to integrating AI features at the hardware level to enhance the overall user experience and system efficiency. Your work will play a key role in building scalable, efficient, and innovative digital solutions that improve access, engagement, and service delivery, particularly in rural contexts. The ideal candidate will have hands-on experience in IoT, digital electronics, a foundational interest in AI technologies, and a passion for creating impactful applications. Responsibilities Design, develop, and maintain high-performance IoT devices and embedded systems. Collaborate with hardware and software teams to translate project requirements into functional systems. Integrate sensor data and manage IoT connectivity to extend application functionalities. Implement hardware-accelerated AI and machine learning algorithms for tasks such as data classification and pattern recognition. Optimize embedded systems for performance, speed, and reliability across various applications. Write clean, scalable, and maintainable code in languages such as C and Verilog HDL. Conduct thorough testing and debugging to ensure hardware and software quality and reliability. Stay updated on the latest trends in IoT, embedded systems, and AI technologies. Work closely with cross-functional teams to define, design, and ship new features. Maintain clear and organized documentation of code, hardware designs, and development processes. Qualification Bachelor s or Master s degree in Electronics and Communication Engineering, Computer Science, Software Engineering, or a related field. Strong proficiency in C and Verilog HDL. A strong foundation in AI concepts, including machine learning algorithms like k-Nearest Neighbors, demonstrated through hardware implementation projects. Experience 0 2 yrs in in developing projects in IoT and digital electronics, such as smart assistance systems, waste management solution; experience with development tools like Arduino IDE, Questa SIM, and Tinkercad. s, and real-time monitoring systems. Last date to apply June 16, 2025 Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx PDF format only Extra curricular activities To confirm your request , please check the box to let us know you are human

XenonStack's Artificial Intelligence team is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. Your goal will be to shape and build efficient self-learning applications. Key Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select relevant datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements Technical Requirement: Knowledge in Machine Learning Engineer or similar role Understanding of data structures, data modelling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Professional Attributes: Excellent communication skills & Attention to detail. Analytical mind and problem-solving Aptitude with Strong Organizational skills & Visual Thinking. Education: Technical Graduates (BCA, BSC, B. Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills Benefits: Dynamic and purposeful work culture in a people-oriented organization contributing to multi-million-dollar projects with guaranteed job security. Open, authentic, and transparent communication fostering a warm work environment. Regular constructive feedback and exposure to diverse technologies. Recognition and rewards for exceptional performance achievements. Access to certification courses & Skill Sessions to develop continually and refine your skills. Additional allowances for team members assigned to specific projects. Special skill allowances to acknowledge and compensate for unique expertise. Comprehensive medical insurance policy for your health and well-being.

Associate Ad Quality Optimization Specialists review and classify online display & video advertisements as we'll as new advertisers associated with clients that have self-serve seats with the goal of minimizing risk for users, advertisers and publishers. This team also ensures uniformity, choice and control on ad content to give publishers the confidence that their site is protected and targeted effectively. The specialist needs to be adaptable to work in a rotating 24/7 shift pattern, which includes night shifts. Creatives are scrutinized by automated and human review processes and categorized with an unprecedented level of detail and accuracy. Our mission is to build trust on the exchanges we monitor and give publishers the confidence that right advertising will reach their sites. The role of Associate Ad Quality Optimization Specialists is to ensure the integrity of the data on which publishers and networks base their settings and preferences on the exchange. Responsibilities: Review and tag creatives based on different aspects of the advertisement according to the Yahoo Ad Policy using different tools to ensure only ads that are compliant are approved and served. Reviewing display/video ads on Yahoo partner sites per our ad standards and competitor exclusion guidelines. Use data to detect risky advertiser trends and implement processes to mitigate risk. Work on separate projects to meet market needs and team priorities. Work with cross functional teams like product, engineering, policy, legal and account management to make wise decisions and keep the advertising marketplace safe. Create dashboards and reports for trend analysis. In-depth analysis at different entity levels based on trends. Qualifications: Familiarity with Online Advertising domain and related technologies. Experience working with emerging/developing ad products (ie. Google Ad Manager). 1-3 years of work experience. Thorough knowledge of Microsoft Excel and Google Suite . Strong strategic thinking, problem solving and analytical skills, with the ability to handle multiple projects and responsibilities simultaneously. Ability to easily adapt to changing priorities with a high attention to detail. Ability to engage with and learn unfamiliar digital tools and systems. Ability to make logical and consistent judgments in policy and relevance matters. Excellent verbal and written communication skills. Excellent time management skills. Reporting Experience Good to have: Understanding of digital advertising space and part of advertiser and publisher quality. Familiarity with western pop culture and ability to recognize common innuendos and slang so as to identify guideline violations. Demonstrated ability for pattern recognition.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the worlds largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Why Join Sigmoid? • Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. • Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo • Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: • Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. • Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. • Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights • Contribute to internal product development initiatives related to data science. • Drive excellent project management required to deliver complex projects, including effort/time estimation. • Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy • Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects • Manage the team-members, to ensure that the project plan is being adhered to over the course of the project • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: • A B-Tech/M-Tech/MBA from a top tier Institutepreferably in a quantitativesubject • 10+ years of hands-onexperience in applied Machine Learning, AI and analytics • Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) • Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas • Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimalguidance Excellent written and verbal communication skills

Collaborate with the Customer Account Executive, Sales Specialist, and Solution Architect to uncover and address challenges or obstacles in both new and existing customer accounts. Design, plan, and implement AI systems for customers, with the ability to develop data pipelines, machine learning (ML) pipelines, and approaches for training and serving ML models, leveraging additional support and resources as needed. Lead technical deep dives, proofs of concept, internal sprints and the development of industry-specific AI solutions to enhance adoption and customer success. Identify key AI stakeholders within customer organizations, advocating for their needs within both business and technical teams. Collaborate closely with internal AI business units and engineering teams, offering valuable market feedback on products and solutions. Participate in customer advocacy, including speaking at conferences, writing blog posts, and other public-facing activities. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Solution Engineer with over 5 years of practical experience in the following areas: Use Case Development, including building AI applications such as deep learning, LLM/RAG, NLP, computer vision, and pattern recognition. Technical Expertise in AI Frameworks and Tools:Expertise with various machine learning frameworks (e.g., TensorFlow,PyTorch, Scikit-learn) and cloud AI servicesto design and deploy production-ready AI systems. Machine Learning Operations Design, including hands-on experience in AI systems architecture, with the ability to design and explain data and ML pipelines, as well as training and serving approaches. Experience with CI/CD andMLOpspractices, including automation via Infrastructure as Code (IaC) tools such as Ansible, in the context of ML and LLM operations. Proven ability to delivertechnicalpresentations and lead business value discussions. Customer-Centric Mindset:A passion for delivering exceptional customer experiences, ensuring that AI solutions meet the specific needs and goals of the customer organization.Strong executive presence and public speaking skills. Continuous Learning & Improvement:Stay up-to-date on emerging AI technologies, frameworks, and methodologies. Actively participate in internal knowledge sharing and contribute to the development of best practices and new tools.

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

fleetx.io is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

Role: DFT Engineer Experience Required: 5-15 Years Location: Bangalore, Hyderabad, Noida, Ahmedabad, and Pune Will be responsible for Scan insertion and validation, BIST, MBIST insertion and validation, ATPG, IP Tests, and Pattern validation w/wo Timing, DFT mode timing analysis, and sign off. Be responsible for a comprehensive DFT plan Incumbent to work with DFT and cross-functional teams To architect and implement solutions for Scan and built-in self-test (Memory and Logic BIST) circuitry to test devices in the field ESSENTIAL SKILLS & EXPERIENCE Strong fundamentals on DFT and ASIC cycle. Sound expertise in Tcl, Perl, and Shell scripting. Technically sound & good team player Hands-on experience with DFT implementation using standard EDA and flow is a must. Interested candidates can send in their profile to bindu@logicalhiring.com or careers@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

Minimum 7-10 years of experience with Python development. Excellent experience in Python 3.7 or higher, Fast API, Flask framework, Django, Rest APi, Pandas, HTML5, CSS3, JavaScript Experience in consuming Client models Excellent knowledge of SQL and No-SQL Database with Dockers and Kubernetes Should have good knowledge of Web Application, Infrastructure and web servers like Apache. Should have good experience with Bit bucket for source code management. Should have experience with Agile methodology and knows SDLC Knowledge of Azure/ AWS services and DevOps Knowledge on Networking and other components of web-application development is beneficial Knowledge on Angular is nice to have Should have good communication skills and a team player attitude. Understanding on to integrate multiple data sources and databases into one system Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python Writing reusable, testable, and efficient code Excellent pattern recognition and predictive modeling skills Knowledge of a variety of machine learning techniques (clustering, decision tree learning, time series etc.) and their real-world advantages/drawbacks. ",

Lead data annotation and collection projects. Develop and implement data annotation guidelines and processes. Train and manage data annotation teams. Collaborate with data scientists and engineers to understand data requirements. HR - 63980 09438 Required Candidate profile Qualification - Graduate Salary :- CTC 25,000 / experience 20,000 / fresher Experience - Data Annotation only Transport:- Both Side 5 Day working / Rotation shift / 2 day Rotation week off

We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you're seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you'll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Qualifications: The ideal candidate must have the following qualifications: 3+ years experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with we'll-known ML frameworks such as Pandas, Keras and TensorFlow

We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you're seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you'll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with we'll-known ML frameworks such as Pandas, Keras, TensorFlow

CTC 25,000 / experience 20,000 / fresher Incentive - Null Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks concerning responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical and responsible standards, contributing to the development of AI systems that prioritize societal well-being and integrity. 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 ensure alignment on responsible AI practices.- Conduct regular audits of AI systems to identify areas for improvement in ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with AI ethics frameworks.- Strong understanding of machine learning principles and their implications for responsible AI.- Familiarity with regulatory requirements related to AI and data usage.- Experience in developing and implementing ethical guidelines for AI systems. Additional Information:- The candidate should have minimum 2 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. A typical day involves evaluating AI systems and implementing strategies to uphold ethical standards. 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.- Develop and implement responsible AI frameworks.- Conduct audits on AI systems to ensure compliance with ethical standards.- Lead initiatives to promote responsible and sustainable AI practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of AI ethics and responsible practices.- Experience in implementing technology mitigation strategies for AI systems.- Knowledge of AI governance frameworks.- Familiarity with AI bias detection and mitigation techniques. Additional Information:- The candidate should have a minimum of 12 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

A Business Analyst at bp provides enduring deep domain expertise to bridge the gap between business goals and technology solutions. Using techniques such as data analysis, customer and partner interviews, and workshops and training, they gather, refine, and define business requirements while collaborating with teams to deliver solutions that meet both user and business needs. The role also involves monitoring progress towards business goals while driving efficiency and effectiveness. The roles focus on ongoing relationship management ensures alignment across commercial and technology partners. What you will deliver User research: Engage with users, observe and analyze their workflows, and extract meaningful insights about how they interact with a product or system. This involves uncovering pain points, process mapping, pattern recognition, and connecting learnings to potential solutions. Requirements definition: Take responsibility for eliciting requirements through various techniques such as interviews, workshops, and document analysis. They lead workshops to assemble and refine requirements, consider tradeoffs, and ensure a clear understanding of system constraints. Additionally, they collaborate with design teams to develop solutions that meet both business and user needs. Relationship management: Builds strong relationships with commercial and technology partners at all levels within a distributed team, ensuring effective communication, alignment and collaboration. Service delivery: Diagnoses issues and works closely with other support teams across functions to understand defects, drive minor improvements, and document change requests clearly and concisely in order to bring quick resolution. Business process change: Lead business process workshops to analyze and map business processes, finds opportunities for process improvements, and implements changes to enhance efficiency and effectiveness. Data analysis: Analyzes and model data requirements, understands data models and database design to support sophisticated datasets, and provides insights and recommendations based on data analysis to support decision-making. What you will need to be successful (experience and qualifications) Strong analytical and problem-solving skills. Superb oral and written communication skills. Ability to build positive relationships with a variety of domain experts. Proficiency in data analysis and modeling. The competencies for a business analyst at this level include a skilful understanding of the core principles and practices of business analysis. At this grade, a business analyst is expected to have comprehensive theoretical, technical, and sometimes specialized knowledge that they use to solve difficult problems and complete complex tasks independently. Specifically, they should be proficient in areas such as requirements definition, stakeholder management, service delivery, testing, business process change, and data analysis. This level of competency allows them to lead initiatives and see them through to the end, demonstrating a high level of skill and expertise in their domain. Preferred experience: Bachelors degree in Business Administration, Information Technology, or a related field, or equivalent experience. Prior experience in energy, manufacturing and renewable industry. Demonstrable experience as a Business Analyst or in a similar role. Familiarity with business analysis tools (e.g., ADO, Power BI).

Position Overview: We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow About Virtana: Virtana delivers the industry s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition In FY2023 (Fiscal year ending January 2023), Virtana earned: Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue Positive Cash Flow, 171% YoY cash flow growth

Languages/Frameworks : Python, SQL, TensorFlow, PyTorch, Scikit-learn Cloud & Infrastructure : AWS, Azure, GCP, Docker, MLOps principles AI Focus Areas : LLMs, Prompt Engineering, Neural Networks, NLP, NLU, RAG, GraphQL, Graph Databases House rent allowance Travel allowance Health insurance Maternity policy Annual bonus Performance bonus Job/soft skill training Course reimbursements