262 Reinforcement Learning Jobs - Page 7

At Skillsoft, we propel organizations and individuals towards growth through transformative learning experiences. We firmly believe that every team member possesses the potential to achieve greatness. Join us in our mission to revolutionize learning and assist individuals in unlocking their full potential. As a Sr. Analyst Instructional Designer (Tech Content Strategist) specializing in Data, you will play a pivotal role in developing engaging and effective learning experiences within the Data domain. Your responsibilities will involve leading the entire content development process, from planning and scripting to reviewing and enhancing content for Data. You will need to leverage your instructional design expertise to create learner-centered content that caters to various learner personas and real-life scenarios. Collaboration with visual designers, editors, and technical experts will be essential to ensure that the content is presented in a compelling and accessible format. Your primary responsibilities will include owning the content development lifecycle for Data, designing creative and impactful learning experiences based on instructional design principles, scripting engaging digital content, collaborating with cross-functional teams, aligning content with industry certification frameworks, identifying learning gaps, and utilizing Generative AI tools to enhance content creation. To excel in this role, you should have a minimum of 5+ years of practical experience in data analytics or related fields, proficiency in instructional design, excellent scripting and communication skills, creativity, storytelling ability, programming knowledge (Python and SQL), familiarity with data libraries, and experience with data visualization tools. Additionally, relevant certifications in Data and familiarity with Generative AI tools and instructional design models will be advantageous. Skillsoft is a leading provider of online learning, training, and talent solutions aimed at helping organizations maximize the potential of their workforce. By offering immersive and engaging content, Skillsoft empowers organizations to develop the skills necessary for success in today's competitive landscape. As a partner to numerous global organizations, Skillsoft offers award-winning systems and platforms to support learning, performance, and overall success. If you are intrigued by this opportunity, we encourage you to apply and be a part of our journey towards transforming learning and empowering individuals to succeed. NOTE TO EMPLOYMENT AGENCIES: Skillsoft values the partnerships with our preferred vendors and does not accept unsolicited resumes. Kindly ensure a signed Skillsoft Employment Agency Agreement is on file before submitting any resumes.,

As an AI Software Engineer based in Bangalore, you will play a crucial role in developing innovative AI-driven solutions. Your responsibilities will include designing, implementing, and optimizing AI models, integrating them into software applications, and collaborating closely with data scientists and engineers to build scalable AI-powered products. Key Responsibilities: - Design, develop, and deploy AI and machine learning models for real-world applications. - Utilize large datasets to train and fine-tune models, ensuring high accuracy and efficiency. - Build and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Scikit-learn. - Develop and maintain AI-driven software applications, integrating models into production environments. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers. - Optimize AI models for performance, scalability, and deployment on cloud platforms (AWS, Azure, GCP). - Implement MLOps best practices for model versioning, deployment, and monitoring. - Stay updated with the latest AI research, tools, and techniques to enhance AI capabilities. Required Qualifications: - Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related field. - Strong programming skills in Python and Java. - Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. - Knowledge of NLP, Computer Vision, or Reinforcement Learning is a plus. - Hands-on experience with cloud computing (AWS, GCP, Azure) for AI model deployment. - Familiarity with data structures, algorithms, and software development best practices. - Experience with containerization (Docker, Kubernetes) and APIs for model integration. - Strong problem-solving skills and ability to thrive in a fast-paced environment. - Experience with LLMs, Generative AI, or AI-powered automation. - Understanding of AI ethics, bias mitigation, and responsible AI practices. - Knowledge of big data technologies like Hadoop, Spark, or Kafka. Benefits: - Work with cutting-edge technologies and a talented team. - Competitive salary and benefits package. - Enjoy a flexible work environment with growth opportunities. - Access to professional development and learning resources.,

As an AI Leader at CGI, you will be responsible for driving the company's AI initiatives, promoting the use of AI technologies, and influencing internal and external stakeholders on AI innovations and capabilities. With 15-20 years of hands-on AI experience, you will play a key role in translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and leading the strategic direction for AI at our organization. Your key responsibilities will include promoting AI technologies within the company and the broader community, defining the AI vision and strategy with executives, and architecting, developing, and deploying AI-driven solutions. You will collaborate with cross-functional teams, contribute to the AI community through publications and research, and provide training and mentorship to junior AI professionals. To excel in this role, you should have 13+ years of hands-on experience in AI, machine learning, and deep learning, along with a Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field. Proven leadership skills, expertise in AI algorithms and programming languages such as Python, strong communication abilities, and a passion for AI innovation are essential. Additionally, a deep understanding of how AI can drive business value, knowledge of AI trends and best practices, and experience in delivering presentations at industry events will be beneficial. Experience in AI product management, involvement in AI-related publications or patents, familiarity with cloud-based AI solutions, and behavioral competencies like process efficiencies, clear communication, and teamwork are considered advantageous. Join CGI, one of the largest IT and business consulting services firms globally, where ownership, teamwork, respect, and career growth are valued. As a CGI Partner, you will contribute to meaningful insights, develop innovative solutions, and shape your career with the support of leaders who care about your well-being and professional development.,

You are a talented and motivated Machine Learning Developer with 1 to 3+ years of experience, seeking to join an innovative team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms that power products and solutions. Your collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be crucial in creating scalable and efficient machine learning solutions. Your duties and responsibilities will include designing, implementing, and optimizing machine learning models to solve complex business problems. You will preprocess and analyze large datasets, ensuring data quality and relevancy for model training. Feature engineering to enhance model accuracy, evaluating model performance, deploying models into production environments, and staying updated with the latest advancements in machine learning will be part of your responsibilities. Additionally, you will collaborate with various teams to integrate machine learning capabilities into products and services while maintaining comprehensive documentation for models and processes. To excel in this role, you should have 1 to 3+ years of hands-on experience in machine learning or data science, proficiency in handling large datasets and SQL/NoSQL databases, and expertise in developing, training, and deploying machine learning models. Strong communication skills, the ability to work effectively in a team environment, and experience with cloud platforms like AWS, Google Cloud, or Azure are essential. Knowledge of natural language processing, computer vision, reinforcement learning, and familiarity with MLOps practices will be advantageous. This position is based in Indore, MP, with a work-from-office model. However, you should be willing to work on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. Apply now if you are ready to contribute your skills and expertise to a dynamic and collaborative team environment.,

As a Senior Data Scientist, you will utilize your extensive experience and expertise in AI/ML technologies to drive innovation and solve real-world problems. Your responsibilities will include designing, developing, and optimizing recommendation systems to enhance user experience, building advanced NLP chatbots for automating customer interactions, leading Generative AI solutions, and applying Large Language Models like GPT and BERT to create innovative business-specific solutions. Collaboration with cross-functional teams is key as you integrate machine learning models into production systems, perform data exploration and feature engineering, and stay updated on the latest advancements in AI and ML technologies. Mentoring junior data scientists and engineers, collaborating with product managers and business stakeholders, and ensuring ethical and responsible model development are also crucial aspects of this role. To excel in this position, you should have 5+ years of experience in data science or machine learning, with strong expertise in recommendation systems, chatbots, Generative AI, and Large Language Models. Proficiency in machine learning frameworks like TensorFlow and PyTorch, as well as experience with cloud platforms and data pipelines, will be essential. Your problem-solving skills, statistical knowledge, and ability to convey technical concepts to non-technical stakeholders will further contribute to your success in this role. Joining our rapidly growing product-based company will provide you with the opportunity to collaborate with a talented team, work on high-quality software solutions, and enjoy a competitive compensation and benefits package. If you are passionate about AI/ML technologies and eager to make a significant impact, this role offers an exciting and rewarding career opportunity.,

Role: SAVP -Digital CX Technical Lead - Gen AI Experience:10+years in Data Science Location: NCR/Bangalore Work Mode: Hybrid Shift Timing: 1:30 pm - 11:30pm Technical Skills Strong technical background with a solid understanding of conversational AI technologies, machine learning, natural language processing, and software development methodologies. Proven experience in delivering Google CCAI, Dialogflow, Vertex.AI solutions. Strong background in Natural Language Processing (NLP), deep learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG). Experience with deep learning frameworks like PyTorch or TensorFlow. Experience with cloud platforms (AWS, Azure, GCP) for deploying AI models. Strong understanding of neural networks, transformers, and reinforcement learning. Familiarity with software development best practices, version control (e.g., Git), and agile methodologies. Experience with CI/CD pipelines and DevOps practices. Excellent software development skills to drive the development and deployment of cutting-edge AI solutions Leadership Skills Demonstrated leadership and team management skills, with the ability to inspire, guide, and develop a diverse team of professionals. Excellent client-facing skills, including effective communication, relationship-building, and negotiation abilities. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills and the ability to work effectively in a team environment. Leadership qualities with a proactive and collaborative approach. BE/BTech/MCA/Ph.D. from tier I/II institute in CS or related field

As an Agentic AI Research Engineer at Pranathi Software Services Pvt. Ltd., you will be part of a leading software product development company that specializes in cutting-edge technologies like AI, Machine Learning, and advanced automation. Our focus is on building next-generation intelligent systems powered by Agentic AI, and we are seeking passionate individuals to join our AI R&D team in Hyderabad. To be successful in this role, you should have a postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or a related field. You should also have strong experience with LLM-based agents, multi-agent systems, or reinforcement learning. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is essential. Hands-on experience with frameworks like LangChain, OpenAI APIs, AutoGPT, or Hugging Face Transformers will be beneficial. Additionally, a solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs is required. This is a full-time position based in Hyderabad, India, with opportunities for on-site or hybrid work arrangements. If you are excited about working on innovative AI projects and meet the qualifications mentioned above, we encourage you to share your resume with us at giribabu@pranathiss.com.,

As a Consultant Data Scientist on a contractual role for a duration of 6 months, you should possess a strong understanding of Data Structures and Algorithms. Your proficiency in advanced programming skills, especially in Python, is mandatory for this role. Additionally, having a working knowledge of C++ would be beneficial. Your responsibilities will include hands-on experience with AI/ML, Deep Learning (CNN, RNN), LLMs, classification, and clustering. It is essential to have a good grasp of algorithm design and development. Familiarity with reinforcement learning, computer vision, or NLP would be an advantage in this position. The ideal candidate should be open to working part-time and must be comfortable with a contractual arrangement. The budget for this role ranges from 80k to 1.3 Lacs per month. The job type is contractual/temporary, with a contract length of 6 months. In addition to the technical requirements, you should be willing to work in person at the specified work location. As a Consultant Data Scientist, you will have the benefit of a flexible schedule. If you meet these qualifications and are interested in this opportunity, please send your CV to soumojit.roy@rebaca.com. To apply for this role, please consider the following questions: - Are you willing to work as a consultant on a 6-month contract - On a scale of 1 to 10, how would you rate your proficiency in Python - What are your monthly salary expectations We look forward to receiving your application and potentially welcoming you to our team as a Consultant Data Scientist.,

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include designing and implementing intelligent budget, tROAS, and SKU recommendations, as well as simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. In collaboration with cross-functional teams, you will lead the development of GenAI-powered creative optimization and automation to drive incremental ad revenue and improve supplier outcomes. Additionally, you will elevate technical standards by promoting best practices in ML system design and development across the team. The ideal candidate for this role possesses a Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of experience in building large-scale machine learning algorithms. You should have a strong theoretical understanding of statistical models and ML algorithms, proficiency in programming languages such as Python, and experience with relevant ML libraries like TensorFlow and PyTorch. Strategic thinking, customer-centric mindset, and a desire for creative problem-solving are essential qualities for success in this position. Additionally, you should be adept at influencing senior-level stakeholders, possess excellent communication skills, and demonstrate the ability to shape technical roadmaps through cross-functional partnerships. Nice-to-have qualifications include experience with GCP, Airflow, and containerization, as well as familiarity with Generative AI and agentic workflows. Knowledge of Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning is also advantageous. By joining Wayfair, you will be part of a dynamic and innovative team that is dedicated to reinventing the way people shop for their homes. If you are looking for a fast-paced environment that offers continuous learning and growth opportunities, Wayfair may be the perfect place for you to advance your career.,

Minimum qualifications: You have a Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. Along with that, you possess 4 years of experience with physical design flow, including floor planning, place and route, or physical verification. Your expertise also includes experience with low-power design techniques like power gating, clock gating, or voltage scaling. Preferred qualifications: It is preferred that you have experience in using Machine Learning (ML) in physical design. You also have knowledge of machine learning algorithms ranging from logistic regression to deep neural networks and reinforcement learning, coupled with proficiency in data structures and algorithms. About the job: As a member of our team, you will be part of a group that consistently pushes boundaries, working on developing custom silicon solutions that drive the future of Google's direct-to-consumer products. You will play a pivotal role in the innovation behind products that are beloved by millions globally. Your expertise will be instrumental in shaping the next era of hardware experiences, ensuring unparalleled performance, efficiency, and integration. In this role, you will be responsible for contributing to the enhancement of Power Performance Area (PPA) through the utilization of machine learning techniques. Leveraging your experience in physical design and machine learning, you will tackle technical challenges and enhance Power, Performance, Area, and Schedule metrics. Your tasks will involve design and optimizations, floor planning, place and route, clock and power planning, timing analysis, and Power Delivery Network (PDN) analysis. Collaboration is key in this role, as you will work across Alphabet, engaging with design, CAD, and machine learning teams. Google's mission revolves around organizing the world's information, making it universally accessible and useful. Our team amalgamates the finest aspects of Google AI, Software, and Hardware to craft profoundly useful experiences. We delve into research, design, and development of cutting-edge technologies and hardware to accelerate computing, ensuring it is seamless and potent. Our ultimate goal is to enhance people's lives through technology. Responsibilities: Your responsibilities will include deploying Artificial Intelligence (AI) solutions into chip design, collaborating with internal teams, Google DeepMind, and others to explore solutions and enhance chip design PPA or cycle time.,

You are an experienced data scientist with 11-12 years of experience in the field. You possess expert knowledge of statistics and probability theory along with proficiency in at least one programming language such as Python, R, or SQL. Your experience includes working with reinforcement learning and GenAI, as well as an expert understanding of machine learning algorithms and models. You have advanced knowledge of data cleaning and preprocessing techniques and are skilled in data analysis and interpretation. Your strong communication and presentation skills enable you to effectively convey complex technical concepts to various stakeholders. In addition, you have experience in leading and managing teams, making you a valuable asset in collaborative environments. Your preferred domain is telecom, where you have demonstrated your expertise in applying data science techniques to solve industry-specific challenges. Your primary skillset lies in data science, with additional skills in Python and data science, making you a well-rounded professional in the field.,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

You will be responsible for developing, training, and fine-tuning Machine Learning models for AI/ML applications. This includes designing and implementing data pipelines for data processing, model training, and inference. Additionally, you will be deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will also be a key part of your role. You will also be expected to research and implement various ML and AI techniques to improve performance. To excel in this role, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, will be beneficial. Familiarity with Docker and container-based deployments to create cloud-agnostic products is required. A strong understanding of AI and Machine Learning concepts such as Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning is essential. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is preferred. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be an advantage. Understanding of various Statistical models is also expected. If you have 5 to 7 years of experience in the relevant field and possess the mentioned skills and qualifications, we would like to hear from you.,

About this Opportunity Ericsson Research is the central research organization within Ericsson. Our mission is to provide Ericsson with system concepts, technology and methodology and to secure long-term competitive product positioning. The position is for a Senior AI Researcher/Researcher in AI Research lab located at Chennai, India. We are an international research team doing research on a range of disciplines, spanning Radio communications, Network architectures, AI, Cloud, Devices and Security. Working with AI research at Ericsson you will have opportunities to explore and pioneer in state-of-art AI methodologies and define the future of AI-Native Networks. Influencing research projects from conceptualization to implementation and delivery, youre always encouraged to propose and develop innovative, transformative ideas and methods that push the boundaries of AI-driven technologies. We offer flexible work options with open environment and a speak-up culture. What you will do Responsibilities: Advance AI research by exploring emerging techniques in Agentic AI and Reinforcement Learning, and extending the state-of-the-art to solve real-world problems in mobile communication systems. Invent and adapt AI techniques to contribute towards AI driven networks Define and develop research concepts and demonstrate the viability for adoption in products Contribute to research projects in teams with diverse talents Collaborate and coordinate with global research teams across varied competence and own responsibility for timely delivery of research modules Contribute to scientific publications and patents to enhance Ericsson’s intellectual property portfolio and reinforce its reputation as leader in AI for mobile networks. You will bring PhD degree from a top institute in India or abroad in Computer Science or related areas Experience in hands-on AI research with first author publications in leading venues. Extensive experience with state-of-the-art methods in agentic AI and large language models, particularly in optimizing planning, tool use, memory, and reflection capabilities. Familiarity with multi-agent system design is also valued. Solid understanding of Reinforcement Learning and multi-agent concepts Understanding of Radio fundamentals including L1,L2 and L3 layers and functions would be a significant positive. Demonstrated ability to work with globally distributed research teams Good communication skills and open to work in adjacent research areas Excellent coding skills Ability and willingness to learn domain specific things

The Data Science team at Meesho plays a crucial role in devising creative solutions and building intelligent systems for millions of users across a wide range of product categories. As a Principal Data Scientist in the AdTech team, you will lead innovation in the advertising platform by leveraging advanced machine learning and statistical methods. Your responsibilities will include developing algorithms to optimize ad spend and ROI, designing frameworks to measure ad effectiveness, collaborating with cross-functional teams to implement AI/ML solutions, and providing strategic insights to tech and business leadership. Key Responsibilities: - Design and develop sophisticated algorithms for bidding and budget optimization. - Create frameworks for measuring ad effectiveness and ROI. - Collaborate with product and engineering teams to implement AI/ML solutions. - Communicate insights and recommendations to tech and business leadership. - Mentor junior data scientists and provide technical guidance. - Lead research initiatives in machine learning, auction theory, and advertising technology. Requirements: - B.Tech in Computer Science, Machine Learning, or a related field with a minimum of 6 years of experience in AI/ML research. - Proficiency in PyTorch or TensorFlow, and expertise in Python and big data technologies. - Experience in auction theory, predictive modeling, causal inference, and reinforcement learning. - Strong communication skills to convey complex concepts to technical and non-technical audiences. - Prior experience in mentoring junior data scientists and managing multiple problem statements. Preferred Qualifications: - M.Tech or Ph.D. in Computer Science with a specialization in Machine Learning. - 3+ years of experience applying machine learning in AdTech or related domains. - Exposure to real-time bidding systems, programmatic advertising, or ad exchanges. - Track record of successful research-to-product transitions. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).,

You will be joining Zupee, the largest online gaming company in India with a dominant presence in the Casual & Boardgame segment. At Zupee, we are dedicated to creating skill-based games that bring joy to people's lives, entertain them, and provide opportunities to earn while playing. In our pursuit over the past three years, Zupee has been committed to enhancing people's learning abilities, skills, and cognitive aptitude through scientifically crafted gaming experiences. Our games offer a refreshing break from the daily stressors and aim to bring happiness into the lives of our players. As a Lead Data Scientist at Zupee, you will play a pivotal role in driving innovation in AI ML-based algorithms and personalized offer experiences. Your responsibilities will revolve around designing and implementing advanced machine learning models, particularly focusing on reinforcement learning techniques such as Contextual Bandits, Q-learning, SARSA, and more. By utilizing your expertise in classical ML and statistical methods, you will be instrumental in creating solutions that optimize pricing strategies, enhance customer value, and generate tangible business outcomes. To excel in this role, you should have a minimum of 6 years of experience in machine learning and at least 4 years in reinforcement learning, personalization, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. Proficiency in classical ML techniques, including Personalization, Recommendation, Pricing, using algorithms like XGBoost, Deep Learning, and hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization is essential. Moreover, you should be adept at handling tabular data, proficient in Python and SQL, and have a strong grasp of ML frameworks like scikit-learn, TensorFlow, and PyTorch. Your key responsibilities will encompass developing cutting-edge ML models for dynamic pricing and personalized recommendations, applying RL techniques to solve pricing and optimization challenges, building AI-driven pricing agents, and collaborating closely with cross-functional teams to align solutions with strategic objectives. Additionally, you will be involved in designing and analyzing controlled experiments to validate the effectiveness of your models. Join Zupee as a Lead Data Scientist and be part of a dynamic team that is poised to make a significant impact in the gaming industry by leveraging AI and ML technologies to drive business growth and enhance user experiences.,

We are looking for a Senior Python Developer with 3-4 years of experience and a solid understanding of stock market dynamics, technical indicators, and trading systems. Your main responsibilities will include taking charge of backtesting frameworks, optimizing strategies, and creating high-performance trading modules that are ready for production. The ideal candidate is expected to possess critical thinking skills when it comes to trading logic, demonstrate precision in handling edge cases, and have the ability to write clean, scalable, and testable code. Working in a fast-paced, data-intensive environment where accuracy and speed are crucial should be something you are comfortable with. Your responsibilities will involve designing and maintaining robust backtesting and live trading frameworks, developing modules for strategy building, simulation, and optimization, as well as integrating with real-time and historical market data sources such as APIs and databases. Utilizing libraries like Pandas, NumPy, TA-Lib, Matplotlib, and SciPy for data processing and signal generation will be part of your daily tasks. Additionally, you will be applying statistical methods to validate strategies, optimizing code for low-latency execution and memory efficiency, and collaborating with traders and quants to implement and iterate on ideas. Managing codebases with best practices using Git, including unit testing and modular design, is also expected from you. The qualifications we are looking for include 3-4 years of Python development experience, particularly in data-intensive settings, a strong grasp of algorithms, data structures, and performance optimization, and hands-on experience with technical indicators, trading strategy design, and data visualization. Proficiency in Pandas, NumPy, Matplotlib, SciPy, TA-Lib, as well as strong SQL skills and experience with structured and time-series data are essential. Exposure to REST APIs, data ingestion pipelines, and message queues like Kafka and RabbitMQ would be advantageous. Experience in using version control systems like Git and collaborative development workflows is also required. Preferred experience for this role includes hands-on experience with trading platforms or algorithmic trading systems, familiarity with order management systems (OMS), execution logic, or market microstructure, prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes, and knowledge of machine learning or reinforcement learning in financial contexts is considered a bonus. This job opportunity is presented by Human Resource from Codeline Tech.,

The position of Control System Engineer at Flux Auto in Bangalore, India, is a full-time role. Flux Auto specializes in developing autonomous vehicle technology for commercial and industrial applications, aiming to democratize autonomous vehicle technology globally. As a Control System Engineer at Flux Auto, you will be part of a multidisciplinary team dedicated to solving complex challenges in autonomous technology and robotics. Preferred qualifications for this role include a Bachelor's or Master's degree in Electrical Engineering/Computer Science, Robotics, or a related field, along with a minimum of 2 years of experience in control system development and software engineering. In this role, you will be responsible for developing algorithms, designing path tracking controllers for various vehicle models, implementing control algorithms on real-time embedded systems, and collaborating with other departments to ensure consistency in the department stack. You will work towards achieving autonomy levels 3 and 4 by continuously testing algorithms on simulations and vehicle systems for verification and validation. Key requirements for this role include proficiency in C or C++, experience in control architecture design, hands-on experience with Model Predictive Control (MPC) and other optimal control methods, knowledge of data-driven modeling techniques, and a strong foundation in classical, modern, and optimal control theory. Additionally, familiarity with code optimization, ROS/ROS2 for real-time control applications, and software development skills are essential. Nice-to-have skills include an understanding of Digital Signal Processing, experience with state estimation techniques, knowledge of Deep Learning and Reinforcement Learning for control, low-level programming experience, and familiarity with MISRA C/C++ and software safety standards. The benefits of this position include a flexible schedule, life insurance, paid sick time, paid time off, Provident Fund, and the option to work from home. The work schedule is fixed from Monday to Friday, with day shifts. Additionally, there are performance bonuses and yearly bonuses available. Applicants are required to have the ability to commute/relocate to Ramachandrapura, Bengaluru - 560013, Karnataka. Two application questions regarding current and expected CTC are included in the application process.,

As a Compliance Technical Consultant at Cinque Technologies, you will be responsible for reviewing, suggesting, and leading the development of new features and functionalities in the existing AML/CFT products. Your primary focus will be to enhance the scalability of these products across various domains such as Banking, Insurance, Travel, Retail, Exchange, etc., in different geographies. By studying market demands and trends, you will play a vital role in facilitating the team and driving the company's expansion. Your performance will be evaluated based on the acquisition of new prospective clients from multiple domains and geographies, as well as finalizing deals with the company. To excel in this role, you should possess a degree in machine learning or related technical disciplines, or have equivalent industry experience. Deep expertise and practical hands-on skills in multiple machine learning techniques such as Natural Language Processing, Computer Vision, Reinforcement Learning, or Predictive Analytics are essential. Additionally, you should have in-depth knowledge and practical experience in designing enterprise-grade ML platforms that meet stringent security, compliance, performance/scalability, and operational requirements. Your role will also require practical hands-on coding skills in languages such as Python, SQL, and Java for developing advanced machine learning algorithms or key components of enterprise-grade machine learning platforms. With at least 5 years of total related industry experience, including 5+ years in leading large-scale machine learning engineering or data science initiatives in a large enterprise setting, you should be well-equipped to drive innovation in this field. Participation and contribution at industry AI/ML conferences, practical hands-on experience with industry-leading ML services/products like AWS AI/ML services, and familiarity with ML frameworks such as TensorFlow, PyTorch, MXNet, Keras, and Scikit-Learn are highly desirable. Experience with public clouds, excellent verbal and written communication skills, and the ability to effectively collaborate with senior executives and navigate complex organizational structures are also key requirements for this role. This is a full-time position with benefits including health insurance, paid sick time, and a provident fund. As part of the application process, you will be asked about your current salary, expected salary, and experience in the Fintech or Finance domain. A minimum of 3 years of experience in AI/ML is required for this role.,

Machine learning (ML) is a subfield of artificial intelligence that enables systems to learn from data and improve their performance on specific tasks without explicit programming. It focuses on developing algorithms that can analyze data, identify patterns, and make predictions or decisions. Essentially, machine learning allows computers to learn from experience, just like humans do, by adjusting their behavior based on the data they are exposed to. Core Concepts: - Learning from Data: Machine learning algorithms are trained on large datasets to identify patterns and relationships within the data. - No Explicit Programming: Unlike traditional programming, where you tell the computer exactly what to do, ML algorithms learn from data and adapt their behavior. - Prediction and Decision Making: The goal of ML is to enable systems to make accurate predictions or decisions based on the patterns they have learned. - Adaptability and Improvement: As ML models are exposed to more data, they can improve their performance and become more accurate over time. Types of Machine Learning: - Supervised Learning: Algorithms are trained on labeled data, where the desired output is provided for each input. - Unsupervised Learning: Algorithms work with unlabeled data and try to find hidden patterns or structures within the data. - Reinforcement Learning: Algorithms learn by interacting with an environment and receiving rewards or penalties for their actions. Job Types: Full-time, Fresher Benefits: - Provident Fund Schedule: - Day shift Work Location: In person,

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Location - Hyderabad Experience - 1-5 Years We are seeking an experienced Machine Learning Engineers specializing in Generative AI to join our core AI team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems. Key Responsibilities: Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation Create robust evaluation frameworks for measuring and improving model performance Build and maintain agentic workflows for autonomous AI systems Collaborate with cross-functional teams to identify opportunities and implement AI solutions Required Qualifications: Bachelor's or Master's degree in Computer Science, or related technical field 3+ years of experience in Machine Learning/AI engineering Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow) Practical experience with LLM deployments and fine-tuning Experience with vector databases and embedding models Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architectures and implementation Preferred Qualifications: Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers) Knowledge of prompt engineering and chain-of-thought techniques Experience with containerization and microservices architecture Background in NLP and deep learning Background in Reinforcement Learning Contributions to open-source AI projects Experience with ML ops and model deployment pipelines Skills and Competencies: Strong problem-solving and analytical skills Excellent communication and collaboration abilities Experience with agile development methodologies Ability to balance multiple projects and priorities Strong focus on code quality and best practices Understanding of AI ethics and responsible AI development Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. You should possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms, as well as a strong familiarity with deep learning methods for text analytics. Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning is essential for this role. Additionally, experience in time series analysis with real-world datasets, familiarity with technologies like Flask, FastAPI, and Hug, and being an expert Python programmer are key requirements for this position. You should have a proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. Collaboration with domain experts, a passion for making a meaningful impact, and strong problem-solving skills are highly valued attributes. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence. If you are a Data Scientist with expertise in Core Python, Machine Learning, and a strong interest in an internship, this opportunity is perfect for you. Walk-ins are welcome for candidates who meet the specified qualifications and key skills outlined above.,

As a Senior Machine Learning Engineer, your primary role will involve designing, developing, and deploying advanced models for end-to-end content generation. This includes AI-driven image/video generation, lip syncing, and multimodal AI systems. Your focus will be on leveraging cutting-edge deep generative modeling techniques to produce highly realistic and controllable AI-generated content. You will be responsible for researching and developing state-of-the-art generative models, such as Diffusion Models, 3D VAEs, and GANs, to power AI-driven media synthesis. Additionally, you will work on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. Your expertise will also be utilized in developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. In addition to model development, you will implement and optimize models for real-time content generation and interactive AI applications. Collaboration with software engineers to efficiently deploy models on cloud-based architectures (AWS, GCP, or Azure) will be a key aspect of your role. Staying updated on the latest trends in deep generative models, diffusion models, and transformer-based vision systems will be essential to enhance the quality of AI-generated content. Your responsibilities will include designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. Participation in code reviews, enhancing model efficiency, and documenting research findings for team knowledge-sharing will also be part of your duties. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 3 years of experience working with deep generative models. Proficiency in Python and deep learning frameworks like PyTorch is required. Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lip sync is essential. A strong understanding of machine learning principles, statistical methods, and problem-solving abilities are also necessary. Additionally, experience with transformers, vision-language models, cloud-based AI pipelines, and model compression techniques is advantageous. Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis will be beneficial. This position offers a dynamic opportunity to work on cutting-edge AI technologies and collaborate with a team of experts in the field. If you are passionate about pushing the boundaries of AI-generated content and staying at the forefront of AI advancements, this role is ideal for you.,

As a Mid-Level AI Software Engineer at Google, you will play a crucial role in developing, deploying, and scaling AI-powered solutions that have a direct impact on Google's employees. Working within the Human Resources Engineering (HRE) team based in Hyderabad, you will have the opportunity to collaborate with a diverse group of engineers, researchers, and HR professionals to create projects that shape the future of HR at Google. Your responsibilities will include writing code for product and system development, actively engaging in design and code reviews to ensure the implementation of best practices across various technologies, contributing to documentation and educational resources, and adjusting content based on user feedback and program updates. Additionally, you will be tasked with diagnosing and resolving product or system issues by analyzing their sources and evaluating their impact on hardware, network, and service operations. To excel in this role, you must possess a Bachelor's degree or equivalent practical experience, along with at least 2 years of software development experience in one or more programming languages or 1 year of experience coupled with an advanced degree. Furthermore, you should have a minimum of 2 years of experience working with data structures or algorithms, as well as a year of experience in specialized ML areas such as speech/audio technology, reinforcement learning, or ML infrastructure. Ideally, you would hold a Master's degree or PhD in Computer Science or a related technical field, and have a background in developing accessible technologies. Your role as a software engineer at Google will involve contributing to critical projects, exploring new technologies, and adapting to the ever-evolving landscape of technology. If you are enthusiastic about tackling challenges across the full technology stack and possess leadership qualities, we encourage you to apply and be part of our mission to drive technology forward.,

You are an individual contributor at Adobe Advertising Cloud, which offers a Demand Side Platform (DSP) and a Spend Optimizer to assist customers in planning, buying, measuring, and optimizing their digital media across various platforms. The primary goal is to enable global advertisers to enhance the effectiveness of their paid media budgets by delivering connected and personalized experiences to consumers. Your role will be within the Spend Optimizer group, working alongside a team of dedicated data scientists and engineers. Together, you will utilize techniques such as reinforcement learning, time series analysis, and bayesian modeling, along with Gen AI frameworks, to optimize ad spends effectively. Your responsibilities will include identifying and developing innovative experiences for Ad Cloud customers, leveraging upcoming AI technologies to shape the product roadmap, leading a team of machine learning engineers, collaborating with cross-functional teams to define technical requirements, deploying scalable machine learning solutions, and driving innovation through research and experimentation. To succeed in this role, you must possess a deep understanding of machine learning frameworks such as PyTorch, Tensorflow, and Scikit-learn, along with strong programming skills in Python. Proficiency in core machine learning concepts, statistics, and AI is essential, including expertise in Bayesian Modeling, Time Series Analysis, Reinforcement Learning, Optimization, and Deep Learning. Additionally, experience in developing and maintaining ML models in a production environment and the ability to thrive in a collaborative and diverse workplace are crucial. The ideal candidate will have over 10 years of experience in applied Machine Learning settings, hold a PhD or Masters in Computer Science/Applied Math/Statistics, and exhibit domain expertise in Digital Ad Technologies. Strong problem-solving skills, adaptability, and the ability to influence technical and non-technical collaborators are key qualities for success in this role. Internal growth opportunities are encouraged at Adobe, with a focus on creativity, curiosity, and continuous learning. You are advised to update your Resume/CV and Workday profile, explore the Internal Mobility page on Inside Adobe, and prepare for interviews. If you apply for a role, the Talent Team will contact you within 2 weeks, and you should inform your manager if you progress to the interview stage. Adobe provides an exceptional work environment, fosters ongoing feedback through the Check-In approach, and offers meaningful benefits. If you are seeking to make a positive impact, Adobe is the place for you. For further assistance or accommodation due to a disability or special need during the application process, contact accommodations@adobe.com or call (408) 536-3015.,