Experience: 2.00 + years Salary: INR 3000000.00 / year (based on experience) Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Yugen AI) (*Note: This is a requirement for one of Uplers' client - Yugen AI) What do you need for this opportunity? Must have skills required: GRPO, high-availability, Trl, LLM, Kubernetes, Python, machine learning, Generative AI Yugen AI is Looking for: We are looking for a talented LLMOps Engineer to design, deploy, and operationalise agentic solutions for fraud investigations. This is critical to reducing fraud investigations TAT (turn-around time) by more than 70%. In this role, you will work directly with our CTO, Soumanta Das , as well as a team of 5 engineers (Backend Engineers, Data Engineers, Platform Engineers). Responsibilities Deploy and scale LLM inference workloads on Kubernetes (K8s) with 99.9% uptime.Build agentic tools and services for fraud investigations with complex reasoning capabilities.Work with Platform Engineers to set up monitoring and observability (e.g., Prometheus, Grafana) to track model performance and system health.Fine-tune open-source LLMs using TRL or similar libraries.Use Terraform for infrastructure-as-code to support scalable ML deployments.Contribute to Tech blogs, especially technical deep dives of the latest research in the field of reasoning. Requirements Strong programming skills (Python, etc.) and problem-solving abilities.Hands-on experience with open-source LLM inference and serving frameworks such as vLLM.Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads.Some familiarity with fine-tuning and deploying open-source LLMs using GRPO, TRL, or similar frameworks.Deep expertise in Kubernetes (K8s) for orchestrating LLM workloads.Familiarity with/Knowledge of high-availability systems. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

About the Role The Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. What the Candidate Will Need / Bonus Points - What the Candidate Will Do - Refine ambiguous questions and generate new hypotheses and design ML based solutions that benefit product through a deep understanding of the data, our customers, and our business Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide. Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketing Design experiments and interpret the results to draw detailed and impactful conclusions. Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. Present findings to senior leadership to drive business decisions - Basic Qualifications - Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics Hands-on experience building and deployment ML models Ability to use a language like Python or R to work efficiently at scale with large data sets Significant experience in setting up and evaluation of complex experiments Experience with exploratory data analysis, statistical analysis and testing, and model development Knowledge in modern machine learning techniques applicable to marketplace, platforms Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop - Preferred Qualifications - Advanced SQL expertise Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Proven aptitude toward Data Storytelling and Root Cause Analysis using data Advanced understanding of statistics, causal inference, and machine learning Experience designing and analyzing large scale online experiments Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills

Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R. 7 years of experience developing and managing metrics or evaluating programs/products. 3 years of experience as a people manager within a technical leadership role. Preferred qualifications: 5 years of experience in scripting or statistical analysis (e.g., R, Stata, SPSS, SAS) in a complex, matrixed organization. 3 years of experience preparing and delivering technical presentations to executive leadership. 3 years of experience in a technical leadership role. 3 years of people management experience (e.g., supervision, or team lead role). About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. In this role, you will work on components of analytics, strategies and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. Responsibilities Identify and structure business problems, communicate challenges and opportunities. Act as a thought partner to produce insights and metrics for various technical and business stakeholders. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Follow engineering best practices to create scalable data pipelines and models. Engage and influence senior stakeholders and cross-functional partners, obtain buy in for potential solutions, adapt messaging and suggested recommendations. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About Us: Data Scientist – 3 – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Website: https://www.kotak811.com/

Company Description At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description Learn to develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets Support the review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs Assist in the development of visualizations and presentations for client deliverables Develop software solutions and applications using Python, SQL, and/or R Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers. Qualifications Education - BS/MS/PhD degree in Engineering, Computer Science, Mathematics, Bioinformatics, Physics Practical knowledge of statistics, statistical inference, and machine learning algorithms Works independently and is a self-starter MS PowerPoint presentation development skills Client interface and presentation skills Knowledge of one or more of the following programming and analysis tools: Python (pandas, scikit-learn, Numpy, Scipy, and database access packages) SQL / (MySQL) AWS (Redshift) Microsoft Excel R programming language Visualization tools Linux (Red Hat, CentOS); Python and software development in a Linux environment Additional Information OUR CULTURAL BELIEFS: Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. EVERSANA is committed to providing competitive salaries and benefits for all employees. The anticipated base salary range for this position is $47,000 to $75,000 and is not applicable to locations outside of the U.S. The base salary range represents the low and high end of the salary range for this position. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). EVERSANA reserves the right to modify this base salary range at any time. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on LinkedIn | Twitter

Job Description: We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail operations. Key Responsibilities: • Develop computer vision models: Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases.• Microservice architecture: Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments.• Data processing pipelines: Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data.• Integrate with existing systems: Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling.• Performance optimization: Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints.• Monitor and improve: Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency.•Security and privacy: Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive information. Experience: •5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications.•Hands-on experience with microservices deployment on cloud platforms (e.g., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies.•Experience with real-time video analytics, including working with large-scale video data and camera feeds. Technical Skills:•Proficiency in programming languages like Python, C++, or Java.•Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for developing computer vision models.•Strong understanding of microservice architecture, REST APIs, and serverless computing.•Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes).•Familiarity with edge computing and hardware acceleration (e.g., GPUs, TPUs) for running inference on embedded systems. Preferred Qualifications:•Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.).•Understanding of retail operations and common challenges in surveillance.•Knowledge of data privacy regulations such as GDPR or CCPA. Soft Skills:•Strong analytical and problem-solving skills.•Ability to work independently and in cross-functional teams.•Excellent communication skills to convey technical concepts to non-technical stakeholders. Benefits:• Competitive salary and stock options.• Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, we’d love to hear from you!Apply Now

Responsibilities:Front-End Development: Design and implement user-friendly interfaces for AI applications. Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. Optimize front-end performance and responsiveness.Back-End Development: Build scalable and efficient backend systems to support AI model deployment. Design and implement RESTful APIs for seamless communication between front-end and back-end. Integrate with cloud platforms (e.g., AWS, Azure) for infrastructure management.AI Model Development: Train and fine-tune state-of-the-art generative AI and LLM models. Leverage deep learning frameworks (e.g., TensorFlow, PyTorch) for model development. Implement efficient inference pipelines for real-time model predictions.Data Engineering: Design and maintain robust data pipelines for model training and evaluation. Preprocess and clean large-scale datasets for optimal model performance. Implement data versioning and monitoring strategies.Preferred Qualifications: Graduate degree in Computer Science, Artificial Intelligence, or a related field. 5+ years of experience in full-stack development. 2+ years of experience in AI model development, particularly with generative AI and LLMs. Strong understanding of machine learning algorithms and natural language processing. Proficiency in Python and relevant AI frameworks (e.g., TensorFlow, PyTorch). Skills: Excellent communication and collaboration skills. Ability to work independently and in a team environment. Passion for staying updated with the latest advancements in AI. Bonus Points: Experience in the Biopharma industry. Experience with model optimization techniques (e.g., quantization, pruning). Contributions to open-source AI projects. Publications in relevant AI conferences or journals.

Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Position Overview: We are seeking a passionate and motivated Data Scientist Intern to join our team. The ideal candidate has a strong foundation in applied mathematics, data analytics and programming (Python and SQL). You will work closely with our data science and engineering teams to develop, test, and evaluate intelligent system models for real-world applications. Key Responsibilities: Create visualizations using PowerBI Perform basic EDA, data preprocessing and inferential analysis Analyze large datasets, extract meaningful patterns, and prepare data for modeling. Assist in the design, development, and implementation of machine learning models, especially time series forecasting algorithms. Collaborate with cross-functional teams to understand domain-specific requirements. Document findings, methodologies, and present results to the team. Qualifications: Bachelor’s degree in engineering/technology Knowledge in Python and SQL scripting Familiarity with PowerBI or similar Visualization tools Knowledge in machine learning fundamentals (classical) and statistical inference is a plus. Strong analytical, problem-solving, and communication skills. Good-to-have: Knowledge of automotive systems and sub systems Good-to-have: Experience with simulation tools (e.g. MATLAB/Simulink, or similar) is a plus. Good to have: Experience in mathematical modelling Skills Python & SQL Data Cleaning Exploratory Data Analysis Data Visualization Tools (Power BI, Tableau) Statistics and applied mathematics We value your data privacy and therefore do not accept applications via mail. Who we are and what we believe in Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide. Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.

Company Description Blend at a glance: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Job Description Location: Hyderabad Role Highlights As a Manager - Data Science, you wont just manage, you'll lead by doing. This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL, and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. You'll spearhead end-to-end AI/ML project execution, collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on board! What You'll Tackle Each Day Delivery & Project Management: Develop and implement ML models, Gen AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis. Own project roadmaps, quality control, and timely delivery. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows for efficiency. Practice Development Contribute to scaling Blends Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership. Evaluate emerging AI trends and tools and integrate them into our ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership Mentor and develop a high-performance data science team. Guide career development and set performance benchmarks. Collaborate with cross-functional teams to drive seamless execution. Qualifications 8+ years of experience in Data Science & AI, with hands-on expertise in ML, Python, and SQL. Exposure to Generative AI — Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilitiesStrong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Experience in end-to-end ML deployment, including working with either Azure or AWS or GCP or Databricks. Proven ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. Deep expertise in statistics, probability, stochastic processes, and causal inference. Strong communicator who can explain AI concepts to non-technical stakeholders. Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines. Bonus: Experience in Google Analytics, Adobe Analytics, or digital marketing analytics. Bachelors/Master’s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications. Apply Now!

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As an engineer you will be responsible for: • Ownership of product/feature end-to-end for all phases from the development to the production. • Ensuring the developed features are scalable and highly available with no quality concerns. • Work closely with senior engineers for refining the design and implementation. • Management and execution against project plans and delivery commitments. • Assist directly and indirectly in the continual hiring and development of technical talent. • Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. • Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About the team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions.​ Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

A Moving Experience. Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride! Who is Cerence ai? Cerence ai is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence ai technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. Our Driving Force Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth. Interested in having a significant impact in a dynamic industry with a high-performing global team? We are seeking a highly skilled and innovative Senior Software Engineer in the TTS (Text-To-Speech) R&D team to develop TTS products exploiting AI models. The ideal candidate will have a robust background (experience or knowledge) in hands on Python programming and ML Ops. Person should be well-versed in the software engineering practices, version controls such as Git, experience and familiar in deployment, optimization of ai model (throughput, efficiency) and with ML-Ops, not for development of AI model but should expert for integration and optimization = productization. Your Impact: Transitioning AI models from research to product-grade and integrating them into observable services optimized for GPUs, specifically for Text-to-Speech (TTS) applications.Develop GPU-accelerated versions of advanced speech AI algorithms like TTS, voice style transfer and neural network-based vocoders etc.Identify and address performance bottlenecks, applying optimization techniques to enhance efficiency.Work collaboratively with cross-functional teams to introduce new product features and enhance existing products What You Bring: Masters or Bachelors (or equivalent experience) in Computer Science, computer architecture, or related field5+ years of experience, excellent Python programming and software design skills, including debugging, performance analysis, and test designExperience with inference Services and productization of AI Models (ML Ops)Excellent Debugging abilities spanning multiple software (storage systems, kernels and containers). Familiarity with version control and code review toolsBackground with container technologies such as docker (Preferred)Background with AI models for Speech Recognition, speech synthesis, Speech Translation, Machine Translation, TTS (Preferred)Experience with Nvidia frameworks and tools for performance measurement and optimization (Preferred)Knowledge of GPU programming such as CUDA or OpenCL (preferred) What We Offer We offer a generous compensation and benefits package (in addition to the base salary), including: Annual bonus opportunityInsurance coverage as per policyPaid time offPaid holidaysCompany contribution to the RRSP (Registered Retirement Savings Plan)Equity awards for certain positions and levelsHybrid work mode is applicable for this position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time. Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement. All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. Following security procedures to report any suspicious activity. Having respect for corporate security procedures to allow those procedures to be effective. Adhering to company's compliance and regulations. Encouraging to follow a zero tolerance for workplace violence. Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). Demonstrative knowledge of information security through internal training programs.

Principal Data Science Manager Hyderabad, Telangana, India Date posted Apr 17, 2025 Job number 1819369 Work site Microsoft on-site only Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you an experienced Principal Data Science Manager , with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you! We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows! We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts. 10+ years of experience as a practicing Data Scientist. Exceptional teamwork and values that foster a positive team culture. Experience in collaborating with teams across different time zones and geographies. Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Experience in one or more programming languages, preferably C#, Python or Java. Experience in mentoring less experienced data engineers and helping to set a positive team culture. Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills. Excellent oral and written communication skills and ability to "tell compelling stories" through data. Preferred Qualifications Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL. A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+Djobs #Windows, #Windows India, #Data Science Responsibilities As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs. Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI PlatformAlign product strategy with Innovaccer’s AI-first approach and broader business goalsDrive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflowsAgent frameworks with planning, memory, and tools integrationEvaluation pipelines for safety, fairness, and domain alignmentModel orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AIStay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act)Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI productsPartner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 12+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure productsProven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applicationsDeep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluationHands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure)Ability to communicate complex concepts to both technical and business audiencesExperience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.)Knowledge of AI safety, explainability, and compliance in regulated environmentsPublished thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days.Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered.Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury.Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office onlyCreche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web.

Skills Job Title: Generative AI Expert Location: Chandigarh, India Experience Required: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Employment Type: Full-Time Apply Now: Send your resume to hr@cogniter.com About the Role Cogniter Technologies is seeking an experienced Generative AI Expert to lead the development of intelligent applications powered by Large Language Models (LLMs) and advanced NLP architectures. This role involves building scalable AI systems using LangChain , RAG pipelines , and vector databases , with a focus on real-time inference through tools such as Groq . You will be part of a forward-thinking team working on cutting-edge AI solutions including conversational agents, intelligent automation tools, and knowledge-based enterprise platforms. Key Responsibilities Design and implement scalable applications using LLMs like GPT-4, LLaMA, Mistral, or Falcon Develop and fine-tune Retrieval-Augmented Generation (RAG) pipelines for high-context accuracy Build modular AI agents using LangChain or similar frameworks Work with vector databases such as Pinecone and FAISS for semantic search and information retrieval Integrate real-time inference hardware such as Groq or similar accelerators Fine-tune LLMs for specific business domains and use cases Stay updated on advancements in NLP, TTS/STT, and AI performance optimization Collaborate with product, backend, and infrastructure teams to deliver production-grade solutions Required Skills & Experience 3+ years of experience in Generative AI , LLMs, and NLP systems Deep expertise in LangChain , RAG architectures , and vector search technologies Proficiency in Python and/or Node.js for AI pipeline development Experience with fine-tuning and deploying models such as GPT-4, LLaMA, Mistral, or Falcon Strong understanding of NLP , Speech-to-Text (STT) , Text-to-Speech (TTS) , and token optimization Familiarity with APIs and platforms like OpenAI , Hugging Face , or Anthropic Strong analytical thinking and problem-solving abilities Preferred Qualifications Experience with Groq or other real-time inference engines and AI accelerators Understanding of Prompt Engineering , RLHF , or MLOps practices Exposure to Multimodal AI (text, voice, image integration) Why Join Cogniter Technologies? Work on real-world AI products with high-impact use cases Collaborate within a research-driven, agile, and innovative tech environment Access modern infrastructure and evolving AI toolkits Contribute to next-gen intelligent systems and enterprise applications How to Apply Send your resume to hr@cogniter.com Only shortlisted candidates will be contacted. Apply Now

About Toyota ConnectedIf you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. About the TeamToyota Connected India is looking for an experienced Lead Computer Vision Engineer to drive the development of cutting-edge AI-powered applications for Software-Defined Vehicles (SDVs). In this role, you will lead a team of engineers and researchers in building real-time perception, autonomous decision-making, and interactive AI systems that enhance in-vehicle intelligence, driver assistance, and passenger experiences.This is an exciting opportunity to work at the intersection of Generative AI, Computer Vision, and Automotive Technology, shaping the future of mobility with AI-driven capabilities. What you will doTechnical Leadership: Lead the design, development, and deployment of Generative AI and Computer Vision models for SDV applications, including driver monitoring, object detection, autonomous navigation, and in-vehicle user experience.Team Management: Mentor and guide a team of AI engineers, fostering a culture of innovation, collaboration, and technical excellence.AI Model Development: Architect and train deep learning models for real-time perception, scene understanding, and multimodal AI applications (vision, NLP, speech).Integration with SDVs: Work closely with ADAS (Advanced Driver Assistance Systems), IoT, and embedded software teams to integrate AI-powered solutions into vehicle architectures.Real-Time Edge AI Deployment: Optimize AI models for real-time processing on automotive-grade edge hardware (NVIDIA, Qualcomm Snapdragon or similar).Multimodal AI Systems: Develop AI-powered human-vehicle interaction systems, including Drive Monitoring, and predictive user interfaces.Research & Innovation: Stay ahead of the latest advancements in AI/ML, diffusion models, and self-supervised learning to push the boundaries of automotive AI applications.Collaboration & Partnerships: Work with OEMs, Tier 1 suppliers, and research institutions to align AI innovations with industry needs. You are a successful candidate if you haveMaster’s or Ph.D. in Computer Science, AI, Machine Learning, Computer Vision, or a related field.10+ years of experience in Computer Vision, Deep Learning, or Generative AI.5+ years of experience leading AI engineering teams.Proven track record of developing and deploying AI models in real-world applications (preferably automotive or robotics).Technical Skills:Strong expertise in Deep Learning frameworks (TensorFlow, PyTorch, JAX).Experience with Generative AI models (Stable Diffusion, GANs, NeRFs, or similar).Proficiency in 3D Computer Vision (SLAM, depth estimation, sensor fusion).Experience with transformer-based architectures, and multimodal AI.Hands-on experience with embedded AI/Edge ML (NVIDIA Jetson, Qualcomm AI SDKs, TensorRT, OpenVINO).Strong programming skills in Python, C++, CUDA, and ROS.Experience with automotive data formats (CAN, ROS, OpenDRIVE, ASAM OpenSCENARIO).Industry Knowledge: Understanding of ADAS, autonomous driving, digital twins, and SDV architectures Preferred Qualifications:Experience in AI-driven Digital Cockpit and next-gen HMI (Human-Machine Interface) applications.Familiarity with 3D synthetic data generation for training AI models.Strong understanding of real-time sensor fusion (LIDAR, CAN, DMS, IMU).Experience working with Automotive OEMs and Tier 1 suppliers.Experience with cloud-based AI training and edge-to-cloud inference architectures. What is in it for you?Top of the line compensation!You'll be treated like the professional we know you are and left to manage your own time and workload.Yearly gym membership reimbursement & Free catered lunches.No dress code! We trust you are responsible enough to choose what’s appropriate to wear for the day.Opportunity to build products that improves the safety and convenience of millions of customersCool office space and other awesome benefits! Our Core Values: EPICEmpathetic: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners.Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customersInnovative: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them.Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success! To know more about us ,check out our glassdoor page-https://www.glassdoor.co.in/Reviews/TOYOTA-Connected-Corporation-Reviews-E3305334.htm

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Sr. Manager, NPU Silicon Design Engineering We are seeking an experienced RTL Design Leader/Manager with strong technical and leadership skills, who thrives in a fast-paced environment, to lead a talented team of engineers. It is a challenging position that involves working at a fast pace & agility to meet Quality & schedule for the IP delivery. Come join the AMD team! The Role We are looking for a Senior Manager Silicon Design Engineering to lead a team of talented engineers in developing NPU IP. This IP goes to several products including client and embedded products and serves as AI inference accelerator. This role requires deep understanding of design implementation and flows, tools and methodologies. The Person The ideal candidate should have demonstrated experience in leading front-end design and integration of sub-systems for complex SOCs. The candidate must be able to communicate effectively and work optimally with different teams across AMD. The candidate must have excellent analytical and problem-solving skills. Key Responisibilites Manage design and front-end integration team for NPU.Drive the design execution using technical expertise, mentoring team of engineers & being responsible for overall execution Quality & schedule. Define and implement RTL design methodologies and best practices. Lead team, meet schedule commitments and provide strong support to various customers.Ensure Design meets performance, power and Area targets & verification coverage for successful silicon.Work with verification and physical design teams to achieve high quality design and successful tape outCollaborate with cross-functional team for successful and on-time delivery of NPU. Preferred Experiences Strong design experience in ASIC designs, RTL design in Verilog/System Verilog, preferably in complex SOC like CPU/GPU.Modern SOC tools such as Spyglass, Questa CDC, Cadence Conformal Low Power, VCS simulationExperience for power domains and power islands using UPF flows and Cadence Conformal Low Power.Expertise in circuit timing/STA, and practical experience with Prime Time or equivalent toolsHands-on with TCL, Perl, Python scripting, Strong verbal and written communication skills Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Job Information Department Name Frameworks & Tools Job Type Full time Date Opened 06/03/2025 Industry Software Development Minimum Experience In Years 3 Maximum Experience In Years 5 City Chennai Province Tamil Nadu Country India Postal Code 600086 About Us MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators. MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently. We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help. Job Description Developing a software pipeline for end-to-end ML Model Inference for specific hardware accelerator by achieving maximum performance & accuracy. Implementing cutting edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using customized inference pipeline for NN Processor. Hardware architecture aware and computation conscious implementation of solutions in an embedded device and maximize the throughput. Develop tools and applications by producing clean, efficient code. Identify, prioritize and execute tasks based on requirement. Implementation, Review, Debug code, Product Delivery and quick turn arounds. Collaborate with team to brainstorm and create new products. Mentor fresh joiners and foster team culture. Must-Have BE/BTech/MS/MTech graduates with Computer science Engineering with 5+ yrs of experience. Solid programming experience in C/C++ with proven experience as Senior Software Engineer. Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization. Extensive experience in software development and project management. Strong analytical and problem-solving skills. Adaptable to execute complex tasks, under tight schedules and dynamic conditions. Familiarity with various operating systems (Linux, Mac OS, Windows). Ability to work independently and manage a team. Excellent organizational and leadership skills. Working knowledge on Deep Learning frameworks (Like ONNX, TensorFlow, PyTorch or Any Hardware Accelerator Software Pipeline Experience). Nice-to-Have Knowledge in Python. Experience in managing team size of 5 or more. Experience Working in an Agile Environment. Experience in using automated testing frameworks.

Noida, Uttar Pradesh, India Category: Engineering Hire Type: Employee Job ID 9672 Date posted 03/02/2025 Candidate will be part of VC PS Noida team. Design, develop, troubleshoot the core algorithms. Design and develop standard and customized features / checks in VC PS for inference, propagation and verification. Will be working with other local and global teams. Design and development of state of the art EDA tools involving development of new and innovative algorithms. Create test cases to test the developed feature. Skills Required Ability to develop new software architecture and good leadership skills. Fluent in C/C++ with extensive work experience in data-structures and algorithms. Excellent algorithm analysis skills and a good knowledge of data structures. Good knowledge of Tcl and Perl-based development on Unix. Good knowledge of Verilog, SystemVerilog & VHDL HDL. Familiarity with ASIC design flow and the EDA tools and methodologies used therein. Familiarity with multi-threaded and distributed code development. Self-motivation, self- discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards contributing to your success. Quality focus - one who believes in quality and wants to make a difference. Experience of production code development on Unix/Linux platforms. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Skills Job Title: Generative AI Expert Location: Chandigarh, India Experience Required: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Job Type: Full-Time Apply: Send your resume to hr@cogniter.com About the Role Cogniter Technologies is seeking a forward-thinking Generative AI Expert to join our team in Chandigarh. This role is ideal for someone with deep expertise in Large Language Models (LLMs) , Retrieval-Augmented Generation (RAG) , and vector search technologies , who is eager to build production-grade AI systems powering chatbots, intelligent agents, and enterprise solutions. Key Responsibilities Design and deploy scalable systems using LLMs such as GPT-4 , LLaMA , Mistral , and Falcon Develop advanced RAG-based AI agents and chatbots with contextual awareness Build modular AI pipelines leveraging LangChain and related frameworks Integrate and optimize Groq-based systems and vector databases like Pinecone and FAISS Fine-tune language models for domain-specific applications Collaborate cross-functionally to deliver AI-powered products and solutions Stay current with advancements in NLP , Generative AI , and real-time inference technologies Requirements Proven experience with LangChain , RAG architectures , and vector databases Proficient in Python and Node.js with a strong grasp of microservice-based AI systems Hands-on experience fine-tuning and deploying models like GPT-4 , LLaMA , or Mistral Solid knowledge of NLP , Speech-to-Text , Text-to-Speech , and model optimization techniques Familiarity with cloud services and APIs from OpenAI , Hugging Face , or Anthropic Excellent analytical thinking, problem-solving skills, and communication abilities Preferred (Nice to Have) Experience with Groq or other real-time inference accelerators Knowledge of Prompt Engineering , Reinforcement Learning from Human Feedback (RLHF) , or MLOps Exposure to Multimodal AI (integration of text, voice, and image data) Why Join Cogniter Technologies? Work on AI solutions that deliver real-world impact across multiple industries Collaborate with a dynamic, research-focused, and innovative team Gain access to cutting-edge AI infrastructure and development tools Play a key role in shaping next-generation AI technologies Ready to shape the future of Generative AI? Send your resume to: hr@cogniter.com Only shortlisted candidates will be contacted. Apply Now

Hyderabad, Telangana, India Category: Engineering Hire Type: Employee Job ID 9309 Date posted 02/24/2025 We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: As a Senior Staff AI Engineer focusing on AI Optimization & MLOps, you are a trailblazer in the AI landscape. You possess deep expertise in AI model development and optimization, with a keen interest in reinforcement learning and MLOps. Your ability to design, fine-tune, and deploy scalable, efficient, and continuously improving AI models sets you apart. You thrive in dynamic environments, staying at the forefront of AI technologies and methodologies, ensuring that AI solutions are not only cutting-edge but also production-ready. Your collaborative spirit and excellent communication skills enable you to work seamlessly with cross-functional teams, enhancing AI-powered IT automation solutions. With a strong background in AI frameworks and cloud-based AI services, you are committed to driving innovation and excellence in AI deployments. What You’ll Be Doing: Design, fine-tune, and optimize LLMs, retrieval-augmented generation (RAG), and reinforcement learning models for IT automation. Improve model accuracy, latency, and efficiency, ensuring optimal performance for IT service workflows. Experiment with cutting-edge AI techniques, including multi-agent architectures, prompt tuning, and continual learning. Implement MLOps best practices, ensuring scalable, automated, and reliable model deployment. Develop AI monitoring, logging, and observability pipelines to track model performance in production. Optimize GPU/TPU utilization and cloud-based AI model serving for efficiency and cost-effectiveness. Develop tools to measure model drift, inference latency, and operational efficiency. Implement automated retraining pipelines to ensure AI models remain effective over time. Work closely with cloud teams to optimize AI model execution across hybrid cloud environments. Stay ahead of emerging AI technologies, evaluating new frameworks, techniques, and research for real-world application. Collaborate to refine AI system architectures and capabilities, while also ensuring models are effectively embedded into IT automation workflows The Impact You Will Have: Enhance the efficiency and reliability of AI-powered IT automation solutions. Drive continuous improvement and innovation in AI model development and deployment. Ensure scalable and cost-effective AI model serving in cloud and hybrid environments. Improve real-time AI processing with minimal downtime and high performance. Optimize AI systems for performance, security, and cost in IT automation applications. Contribute to the advancement of Synopsys' AI capabilities and technologies. What You’ll Need: 8+ years of experience in AI/ML engineering, with a focus on model optimization and deployment. Strong expertise in AI frameworks (LangGraph, OpenAI, Hugging Face, TensorFlow/PyTorch). Experience implementing MLOps pipelines, CI/CD for AI models, and cloud-based AI deployment. Deep understanding of AI performance tuning, inference optimization, and cost-efficient deployment. Strong programming skills in Python, AI model APIs, and cloud-based AI services. Familiarity with IT automation and self-healing systems is a plus. Who You Are: Innovative and forward-thinking, constantly seeking to improve and optimize AI models. Collaborative and communicative, working effectively with cross-functional teams. Detail-oriented and meticulous, ensuring high standards in AI model performance and deployment. Adaptable and resilient, thriving in dynamic and fast-paced environments. Passionate about AI and its applications in IT automation and beyond. The Team You’ll Be A Part Of: You will join a dynamic team of AI engineers and IT professionals dedicated to advancing AI-powered IT automation. Our team focuses on optimizing model deployment, scaling AI workloads using Kubernetes, and enhancing AI observability and security. Together, we aim to make IT automation faster, more reliable, and cost-efficient, driving continuous technological innovation and excellence. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Skills Position: Generative AI Expert Location: Chandigarh, India Experience: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Employment Type: Full-Time Apply at: hr@cogniter.com About the Role Cogniter Technologies is on the lookout for a passionate and experienced Generative AI Expert to join our AI/ML team. If you're skilled in working with large language models (LLMs), LangChain, RAG architecture, and vector databases, and you're excited about building cutting-edge AI applications for real-world impact—this role is for you. You’ll be at the forefront of designing and deploying intelligent systems that integrate advanced AI frameworks and real-time inference technologies into scalable solutions. What You’ll Do Architect and develop intelligent AI applications using leading LLMs like GPT-4, LLaMA, Mistral, or Falcon Build and fine-tune Retrieval-Augmented Generation (RAG) pipelines for high-quality contextual outputs Create modular AI agents using LangChain or equivalent orchestration frameworks Implement semantic search and retrieval using vector databases (e.g., Pinecone, FAISS) Work with real-time inference engines such as Groq for performance-driven deployment Fine-tune models for domain-specific use cases and optimize token usage Stay updated with the latest in NLP, STT/TTS, prompt engineering, and AI toolsets Collaborate closely with cross-functional teams to bring AI features into production environments Required Skills Minimum 3 years of hands-on experience in Generative AI, LLMs, and NLP Proficiency with LangChain , RAG pipelines , and vector search systems Strong command over Python and/or Node.js Experience with LLM fine-tuning and deployment (e.g., GPT-4, LLaMA, Falcon) Deep understanding of NLP concepts, token optimization, and STT/TTS processes Familiarity with AI ecosystems like OpenAI, Hugging Face, and Anthropic Strong analytical and debugging abilities Nice to Have Experience with Groq or similar AI accelerators for real-time inference Knowledge of prompt engineering and reinforcement learning with human feedback (RLHF) Understanding of MLOps workflows and model lifecycle management Exposure to multimodal systems integrating text, images, and voice Why Work with Us? Be part of AI projects that deliver real business value Thrive in a collaborative and research-driven environment Access modern infrastructure, tools, and cloud platforms Play a vital role in developing the future of enterprise AI and automation To Apply: Send your updated resume to hr@cogniter.com. Only shortlisted candidates will be contacted. Apply Now

Skills Job Title: Generative AI Expert Location: Chandigarh, India Experience Required: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Employment Type: Full-Time Application: Send your resume to hr@cogniter.com About the Role Cogniter Technologies is seeking a skilled and forward-thinking Generative AI Expert to join our AI and machine learning team. This role is ideal for professionals with a strong foundation in Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), and vector databases. The selected candidate will lead the design and implementation of intelligent systems that leverage cutting-edge technologies for real-time inference and enterprise-grade applications. Key Responsibilities Design and develop scalable AI applications using LLMs such as GPT-4, LLaMA, Mistral, or Falcon Build and optimize RAG pipelines to deliver contextually accurate responses Develop modular AI agents using LangChain or similar frameworks Utilize vector databases such as Pinecone and FAISS for semantic search and data retrieval Integrate real-time inference solutions using Groq or other AI accelerators Fine-tune language models for industry-specific use cases Stay up to date with advancements in NLP, Speech-to-Text (STT), Text-to-Speech (TTS), and token efficiency Collaborate with product managers, backend developers, and infrastructure teams to deploy AI features to production Required Skills and Experience Minimum 3 years of hands-on experience in Generative AI, LLMs, and NLP Strong expertise in LangChain, RAG architecture, and vector search technologies Proficient in Python and/or Node.js for AI application development Experience with fine-tuning and deploying LLMs (e.g., GPT-4, LLaMA, Falcon) Solid understanding of NLP principles, token optimization, and STT/TTS workflows Familiarity with OpenAI, Hugging Face, Anthropic, and similar AI platforms Strong analytical and problem-solving skills Preferred Qualifications Experience with Groq or other real-time inference engines Knowledge of prompt engineering, reinforcement learning with human feedback (RLHF), or MLOps practices Exposure to multimodal AI solutions involving text, voice, and images Why Join Cogniter Technologies Work on impactful, real-world AI products and systems Collaborate in a research-driven and agile technology environment Access modern tools, infrastructure, and resources Contribute to next-generation enterprise AI platforms and automation solutions How to Apply Interested candidates should send their resume to hr@cogniter.com Only shortlisted candidates will be contacted. Apply Now

Skills Job Title: Generative AI Expert Location: Chandigarh, India Experience Required: 3+ Years (LLMs, LangChain, RAG, Vector Databases, Groq) Employment Type: Full-Time Apply Now: Send your resume to hr@cogniter.com About the Role Cogniter Technologies is seeking a Generative AI Expert to help design and implement intelligent, production-grade solutions powered by Large Language Models (LLMs) . If you’re deeply experienced in LangChain , RAG architectures , and vector databases , and excited to work on real-time inference using tools like Groq , we’d love to meet you. This role offers the opportunity to work on next-gen AI products—including chatbots, intelligent agents, and enterprise platforms. Key Responsibilities Design and deploy scalable applications using LLMs such as GPT-4 , LLaMA , Mistral , and Falcon Build and optimize Retrieval-Augmented Generation (RAG) pipelines and AI agents with deep contextual awareness Develop modular AI workflows using LangChain and similar frameworks Work with vector databases (e.g., Pinecone , FAISS ) for semantic search and knowledge retrieval Integrate Groq or similar real-time inference accelerators Fine-tune LLMs for domain-specific use cases and enterprise-level deployments Stay on the leading edge of NLP , TTS/STT , and AI model optimization Collaborate with cross-functional teams to deliver robust AI solutions Required Skills & Experience 3+ years of experience with Generative AI technologies and LLMs Expertise in LangChain , RAG , vector databases , and knowledge-based AI systems Strong Python and/or Node.js development skills Hands-on experience with fine-tuning , inference , and deployment of models like GPT-4, LLaMA, or Mistral Solid understanding of NLP, Speech-to-Text , Text-to-Speech , and token optimization Experience working with APIs from OpenAI , Hugging Face , or Anthropic Strong analytical, problem-solving, and communication skills Preferred (Nice to Have) Experience with Groq , real-time inference engines , or custom accelerator tools Familiarity with Prompt Engineering , RLHF (Reinforcement Learning from Human Feedback) , or MLOps Exposure to Multimodal AI (text, voice, image) Why Join Cogniter Technologies? Develop AI solutions with real-world impact across diverse industries Be part of an innovative, research-led, and collaborative team Work with cutting-edge infrastructure and the latest AI tools Help shape the future of Generative AI and intelligent systems How to Apply Send your resume to hr@cogniter.com Only shortlisted candidates will be contacted. Apply Now