158 Reinforcement Learning Jobs

You are a part of Flam, a rapidly growing startup with a vision to transform the MR (Mixed Reality) landscape using innovative AI technology. From immersive mixed-reality applications to cutting-edge generative AI solutions such as GANs, diffusion models, transformers, and large language models, Flam is at the forefront of fostering creativity, problem-solving, and out-of-the-box thinking. Your ability to push the boundaries of AI technology matters more to Flam than formal qualifications. Mixed Reality (MR) merges the realms of Augmented Reality and Virtual Reality to create interactive environments that blend physical and virtual worlds seamlessly. Flam leverages MR technologies to craft next-level user experiences that revolutionize digital content interaction. The AI-driven approach ensures intelligent, adaptive, and personalized immersive environments. As an AI Engineer/Researcher/Scientist at Flam, you will be involved in pioneering AI projects that combine creative design principles with cutting-edge technologies like GANs, diffusion models, transformers, large language models, and MR applications. You will have the freedom to experiment, innovate, and propose unconventional solutions, requiring you to be a fast learner who can delve into research papers and GitHub repositories to test and refine multiple solutions swiftly, ultimately selecting and implementing the most effective ones. Your responsibilities will include investigating, prototyping, and implementing state-of-the-art AI methods in various applications, exploring novel approaches to AI-driven interactions in MR environments, building, training, and optimizing deep learning models for tasks like computer vision and natural language processing, staying updated on the latest AI research and emerging technologies, proposing and leading experimental projects that push the boundaries of AI in extended reality experiences, and collaborating with cross-functional teams to seamlessly integrate AI solutions into mixed-reality applications. Qualifications required for this role include a passion for AI, a drive to explore cutting-edge research, the ability to rapidly learn new tools and concepts, creative problem-solving skills, proficiency in at least one programming language commonly used in AI, familiarity with AI frameworks, exposure to various AI techniques, understanding of design principles, and self-motivation with excellent communication and collaboration skills. Experience with AR/VR/MR technologies is a bonus but not mandatory for this position at Flam.,

As a Computer Vision Engineer at our company based in Chennai, India, you will play a crucial role in designing and prototyping machine learning architectures to enhance our solution. Your primary responsibility will involve collaborating with the founder to brainstorm and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in the field of cricket and badminton. In this new and exciting domain, we are particularly interested in candidates with experience in related areas such as robotics, autonomous systems, sports analytics, surveillance, or IoT. We value individuals who can bring innovative problem-solving skills and adaptability to tackle our unique challenges effectively. Your key responsibilities will include proposing and evaluating AI/ML architectures for real-time officiating tasks, developing computer vision algorithms to detect critical objects, designing reinforcement learning models for dynamic camera control, integrating data from video feeds with auxiliary sensors, and rapidly prototyping AI/ML modules using real or simulated data. Additionally, you will be expected to document architecture decisions, stay updated on recent research in the field, and collaborate closely with the product management and development teams. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related discipline focusing on machine learning, computer vision, robotics, or data science. You should also possess proficiency in Python, familiarity with C++, experience with deep learning frameworks such as TensorFlow or PyTorch, hands-on experience with computer vision libraries like OpenCV, and knowledge of reinforcement learning concepts and frameworks. While direct experience in sports officiating is not mandatory, relevant experience in fields like sports analytics, robotics, surveillance, or IoT would be beneficial. Soft skills such as problem-solving abilities, effective communication, adaptability, and a collaborative spirit are also highly valued in this role. Joining our team will offer you the opportunity to work in an innovative domain merging AI with sports officiating and analytics, collaborate directly with the founder and a lean, agile team, contribute to product direction, gain experience in building a product from concept to market, and receive competitive compensation with potential equity participation in our rapidly evolving startup.,

You should be an expert in LLMs, multi-ai-agentic systems, and AI reasoning frameworks with hands-on experience in Langchain, LangGraph, and CrewAI. Strong programming skills in Python for AI development are essential, along with familiarity in ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning. Experience with Google Cloud, Vertex AI, and CI/CD automation is required to excel in this role. You must possess the ability to evaluate AI model performance, scalability, and efficiency. Knowledge of multi-agent coordination, reinforcement learning, and distributed AI will be beneficial. Your role will involve evaluating models, writing evaluation code, and applying strong problem-solving skills for AI system optimization and troubleshooting. As a RoleGen AI developer, you will work in the IT/Computers - Software industry. A BTECH degree is required for this full-time, permanent position. Key skills include expertise in GENAI, GENAI Developer, and Python programming. If you are passionate about AI development and possess the necessary skills and qualifications, this role offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects. Recruiter Name: Kathiravan G,

The role of Senior AI Professional at our organization requires a highly skilled individual who can work independently and lead AI projects from start to finish. You should have a broad experience with various AI tools, frameworks, and applications, and be comfortable in a fast-paced, innovation-driven setting. Your responsibilities will include designing, developing, and implementing AI solutions across different domains. You will manage AI projects independently, integrating tools such as NLP, Computer Vision, Generative AI, Predictive Analytics, Reinforcement Learning, and Recommendation Systems. Collaboration with cross-functional teams for data preparation, model development, testing, and deployment is essential. Staying updated with emerging AI technologies and optimizing models for performance, scalability, and cost efficiency are key aspects of the role. Additionally, documenting processes, models, and workflows for knowledge sharing within the team is crucial. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field, along with at least 5 years of hands-on experience in AI/ML development. Proficiency in Python and major AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI API, and LangChain is necessary. Experience in multiple AI domains including Natural Language Processing (NLP), Computer Vision, Generative AI (text, image, audio, video), Predictive Analytics & Forecasting, and Reinforcement Learning is required. You should possess strong skills in data preprocessing, feature engineering, model optimization, and familiarity with cloud AI platforms (AWS, Azure, GCP) and MLOps practices. Excellent problem-solving and communication abilities are essential for this role, along with the capacity to work independently with minimal supervision. Preference will be given to candidates based in Gurugram or Delhi, with prior experience in leading AI projects from scratch and exposure to AI integration in enterprise environments.,

The role aims to establish the strategic direction for the team, assuming responsibility for the overall Insights and analysis discipline in the market. You will collaborate with various channels to ensure an integrated response to people-based marketing objectives. We are in search of an experienced Advanced Analytics Senior Manager to become a part of our dynamic team. This position is dedicated to utilizing advanced analytics techniques, which include machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to facilitate data-driven decision-making within the retail/CPG domain. The ideal candidate should have a solid quantitative background, a keen interest in translating complex data into actionable insights, significant experience in leading mid-to-large sized teams, and the capability to design, evaluate, and implement RFPs, POCs, approaches, and frameworks. Responsibilities: - Develop, implement, and manage advanced analytical models leveraging machine learning algorithms and GenAI applications. - Apply various advanced analytics techniques to reveal trends, patterns, and insights from extensive and intricate datasets. - Work closely with cross-functional teams to identify business requirements and provide data-driven solutions. - Design visually appealing dashboards and reports to communicate findings to stakeholders. - Continuously assess and enhance existing analytics methodologies and models for improved accuracy and performance. - Keep updated on industry trends and advancements in analytics and machine learning to foster innovation within the team. - Mentor junior team members and contribute to knowledge sharing across the organization. Basic Qualifications: - Bachelor's or Master's degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. - Over 10 years of experience in advanced analytics, data science, machine learning, Generative AI, or a related field. - Profound experience in quantitative modeling, predictive analytics, text analytics, and forecasting methodologies. - Proficiency in SQL (or Google BigQuery), Python, and visualization tools such as Tableau/PowerBI. - Familiarity with the Retail/CPG/Tech industry and exposure to product, transaction, and customer-level data. - Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. - Strong analytical and problem-solving skills, coupled with an inquisitive mindset. Desired Skills: - Proficiency in various advanced analytics techniques, including Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Text Analytics. - Extensive knowledge of machine learning techniques, encompassing Supervised Learning, Unsupervised Learning, and Reinforcement Learning. - Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. - Proficiency in data visualization tools like Tableau or Power BI. - Strong skills in data management, structuring, and harmonization to support analytical requirements. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent,

About the Role QpiAI works at the intersection of AI and Quantum Computing, developing groundbreaking solutions to tackle some of the most complex challenges across various industries. Our team is dedicated to pushing the boundaries of innovation and delivering exceptional results to our enterprise clients, driving significant impact. We are seeking an exceptional Applied AI Researcher to join our innovative research team. This role will focus on advancing our AI capabilities through rigorous experimentation, multi-agent systems design, domain-specific scaffolding, and evaluation methodology development. Through this role you will get the opportunity to develop Compound AI systems impacting areas like Drug Discovery, Decision Intelligence, Chip Design , Quantum Computing etc. Key Responsibilities Design and implement novel multi-agent architectures that enable complex problem-solving and collaboration Develop domain-specific scaffolding techniques to guide AI systems in specialized environments Create and curate high-quality datasets for training and evaluating AI systems across various domains Establish comprehensive evaluation frameworks to measure system performance, robustness, and alignment Research and implement reinforcement learning approaches for agent behavior optimization Develop techniques for post-training optimization and domain adaptation Collaborate with cross-functional teams to translate research findings into practical applications Stay current with the latest advancements in AI research and contribute to the research community Document methodologies, findings, and best practices for internal knowledge sharing Qualifications Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, or related technical field 4+ years of experience in applied AI research Strong mathematical foundations in optimization, probability theory, and linear algebra Extensive expertise in Python programming and software development Strong proficiency in PyTorch or JAX for implementing and scaling AI models Experience in curating datasets, pre-training, and aligning multimodal small language models Demonstrated experience with various reinforcement learning post-training methods (RLHF, DPO, GRPO, SFT, etc.) Experience with prompting methods like Chain of Thought and curating Chain of Thought datasets Experience training small reasoning models for specific applications Familiarity with various alignment methods and value learning techniques Experience with multi-agent systems design and implementation Knowledge of distributed training on multi-node, multi-GPU clusters Experience with dataset curation, cleaning, and augmentation for diverse AI tasks Strong understanding of model evaluation metrics and methodology development Excellent communication skills and ability to present complex technical concepts clearly Preferred Experience Publication record in top-tier AI/ML conferences (NeurIPS, ICLR, AAMAS, ICML) Experience applying AI to scientific domains such as drug discovery, materials science, chip design, or mathematical reasoning Experience working with vision-language models and multimodal architectures Demonstrated success in developing efficient small language models for specialized tasks Research experience in open-endedness, including emergent behaviors, auto-curriculum learning, or open-world agent systems for design of experiments, hypothesis generation. Background in computational chemistry, physics, electrical engineering, or mathematics Experience with Kubernetes and containerized workflow orchestration Familiarity with ML infrastructure tools like Ray, Hydra, or MLflow Knowledge of interpretability methods and system analysis approaches Experience with domain adaptation for specialized scientific applications Open-source contributions to AI research or tooling Experience in developing custom GPU accelerated pipelines. Experience optimizing large-scale models for inference and deployment. What We Offer Opportunity to work on cutting-edge AI research with real-world impact Access to substantial computational resources for large-scale experimentation Collaborative environment with top researchers and engineers Flexibility to pursue novel research directions within the company&aposs mission Competitive compensation and benefits package Join us in shaping the future of intelligent systems and their applications across diverse scientific domains. Show more Show less

Company Description LueinAnalytics, founded in 2017, is a pioneer in AI Research and Consulting, offering next-generation AI consulting services. The company helps organizations across diverse industries to implement and optimize Artificial Intelligence and analytics solutions. Luein Analytics combines industry expertise, leading cloud platforms, and data science to deliver transformative outcomes, maximizing the power of data to solve critical challenges. Role Description This is a remote internship role for a Computer Vision Deep Learning Intern at Luein Analytics. The intern will be responsible for working on computer vision projects using deep learning techniques. They will collaborate with the team on research, development, and implementation of computer vision algorithms and models. Duration : 3 months, Full-time (10am-6pm), Remote Stipend : INR 8000 / month Qualifications Experience with Computer Vision and Deep Learning Python programming fluency Knowledge of Supervised and Unsupervised Learning, Reinforcement Learning, and Neural Networks Familiarity with Image Processing and Computer Vision libraries (e.g - OpenCV, TensorFlow, PyTorch) Experience fine-tuning base models like ResNet, EfficientNet, Contrastive learning, for image classifications and image detection tasks. Strong programming skills in languages such as Python. Understanding of Machine Learning concepts and algorithms Ability to work independently and collaboratively in a remote setting Pursuing or completed a graduate degree in Computer Science, Artificial Intelligence, or related field Show more Show less

You should possess a Bachelor of Technology in Computer Science or a related field. With 7 to 14 years of experience, you will be working from the office located in Kochi. Your skills should include: - 8+ years of software development experience with at least 4 years as a full-time Data Scientist, Machine Learning Researcher, or ML Engineer - Proficiency in Python and R programming languages with knowledge of libraries such as Pandas, NumPy, and scikit-learn - Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, and Keras - Strong understanding of various machine learning techniques such as clustering, decision trees, and neural networks - Familiarity with Natural Language Processing (NLP), particularly in sentiment analysis, entity recognition, and the use of SpaCy - Ability to work with SQL databases and complex queries - Proven capability to work independently in fast-paced, start-up-like environments - Experience with cloud platforms like AWS, GCP, or Azure Specific AI skills required for this role: - Experience in deploying and fine-tuning Large Language Models (LLMs) - Knowledge of Reinforcement Learning techniques - Expertise in Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) - Experience in applications involving audio, video, and image intelligence As part of your responsibilities, you will be expected to: - Design, build, deploy, monitor, and maintain machine learning models - Perform feature engineering to identify and calculate valuable input features - Clean, analyze, and prepare new data sources for analysis and model input - Utilize data visualization tools to effectively communicate insights across teams - Collaborate with Data Engineers to transition models from research to production - Optimize model performance using adaptive/incremental ML techniques - Recommend and implement solutions to enhance data quality and reliability - Work closely with the Product Development Team on new feature planning In addition, you will have AI-focused responsibilities such as: - Deploying and fine-tuning LLMs for various business applications - Applying reinforcement learning in predictive analytics and decision-making - Developing deep learning models for NLP, computer vision, and audio/video analytics - Designing AI-driven solutions targeting audio, video, and image intelligence This job opportunity is with Terawe, an IT solutions and services firm headquartered in Bellevue, WA, USA, with offices in India, Australia, Canada, and Ireland. Terawe focuses on developing industry-wide solutions on cloud infrastructure, productivity, data platforms, and artificial intelligence for various sectors including Retail, Education, Finance, Manufacturing, and Healthcare, serving enterprise customers globally. Please visit https://www.terawe.com/ for more information about Terawe. This is a full-time, permanent position requiring in-person work at the specified location.,

As a Senior AI Professional, you will be responsible for designing, developing, and deploying AI solutions across various domains. Working independently, you will lead AI projects from concept to implementation, utilizing a diverse range of AI tools such as NLP, Computer Vision, Generative AI, Predictive Analytics, Reinforcement Learning, and Recommendation Systems. Collaboration with cross-functional teams for data preparation, model development, testing, and deployment will be a key aspect of your role. Furthermore, staying updated with emerging AI technologies and optimizing AI models for performance, scalability, and cost efficiency are essential responsibilities. Documentation of processes, models, and workflows for team knowledge sharing will also be part of your duties. You should hold a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field, along with at least 5 years of hands-on AI/ML development experience. Proficiency in Python and major AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI API, and LangChain is required. Experience in multiple AI domains including NLP, Computer Vision, Generative AI, Predictive Analytics & Forecasting, and Reinforcement Learning is essential. Strong skills in data preprocessing, feature engineering, and model optimization, along with familiarity with cloud AI platforms (AWS, Azure, GCP) and MLOps practices are necessary. Excellent problem-solving and communication skills, as well as the ability to work independently with minimal supervision, are crucial for success in this role. Candidates based in Gurugram or Delhi are preferred, with prior experience in leading AI projects from scratch and exposure to AI integration in enterprise environments being advantageous. If you are a highly skilled AI professional with a passion for innovation and the ability to work autonomously, this role offers a challenging opportunity to contribute to cutting-edge AI projects and drive technological advancements in a fast-paced environment.,

As an AI Engineer at EY, you will have the opportunity to design, build, and deploy state-of-the-art generative AI solutions to address real-world problems. You will collaborate with diverse teams, including product managers and business stakeholders, to create innovative solutions that meet their needs. Your role will involve developing and implementing AI and Generative AI-based custom solutions, working with team members to deploy these systems into production, and ensuring their performance and reliability. Additionally, you will stay updated on the latest research in generative AI, mentor junior engineers, and contribute to the development of cutting-edge generative AI applications in various domains. To excel in this role, you should have 4-6 years of experience in designing, building, and deploying scalable machine learning models on cloud platforms like Azure or GCP. You should be proficient in working with generative AI models such as GANs, diffusion models, transformers, as well as deep learning models and techniques. Experience in areas like prompt engineering, computer vision, natural language processing, reinforcement learning, distributed computing, DevOps, and machine learning ethics will be beneficial. Moreover, your educational background should include a BS/MS degree in Computer Science, Engineering, or a related field. At EY, we are committed to providing equal opportunities to all candidates and welcome applications from individuals with diverse experiences and backgrounds. Join us at EY and contribute to building a better working world where data, AI, and advanced technology drive innovation and create value for clients, people, society, and the planet.,

As a Senior Robotics Engineer at Mowito, you will be responsible for designing, developing, and deploying advanced robotic control systems for industrial robotic arms. Leading projects from concept to deployment, you will integrate AI-driven perception, planning, and control to address complex automation challenges. Collaboration with the AI, hardware, and deployment teams is essential to deliver cutting-edge automation solutions to real-world factories. Your key responsibilities will include leading the design, development, and deployment of advanced robotic perception, planning, and control systems for high-DOF industrial arms. You will take ownership of projects from requirements gathering to deployment and ongoing optimization. Additionally, you will invent and implement novel algorithms to enhance robot intelligence, perception, and autonomy. Integrating AI and machine learning models into real-time robotic control pipelines and optimizing system performance for low latency, robustness, and industrial reliability will be crucial aspects of your role. To be successful in this role, you should hold a Bachelor's or Master's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field, along with a minimum of 5 years of experience in robotics software development. Proficiency in C++ and Python, a solid foundation in robotics fundamentals, experience with ROS/ROS2, and hands-on deployment of robotic systems in industrial environments are required qualifications. Strong problem-solving skills, the ability to debug complex software-hardware interactions, and a comfort with a fast-paced startup environment are also necessary. Preferred qualifications include a Master's or PhD in Robotics, AI, or a related field, experience with industrial arms, integrating deep learning models for perception or control, knowledge of CNN models, imitation learning, or reinforcement learning, and familiarity with safety-critical robotics and ISO standards. Experience leading cross-functional engineering projects and a strong track record of publications, patents, or successful deployed robotic products are advantageous. Joining Mowito will offer you the opportunity to lead projects with full technical ownership, develop innovative algorithms and systems, impact global manufacturing automation, work with Fortune 500 clients, and enjoy a competitive salary and equity options in a flexible, innovation-driven culture. If you are passionate about pushing the boundaries of robotics and AI and wish to contribute to real-world automation in global factories, we look forward to hearing from you.,

We are currently seeking AI Developers to join our team and contribute to the advancement of artificial intelligence and machine learning technologies. In this role, you will play a key part in the development, deployment, and optimization of AI models for various applications. Collaboration with data scientists, engineers, and business teams will be essential for the success of our projects. Your technical skills should include proficiency in Python, particularly in frameworks such as TensorFlow, PyTorch, and Scikit-learn, or similar AI/ML frameworks. Experience in NLP, Computer Vision, or Reinforcement Learning is highly desirable. A solid background in data preprocessing, feature engineering, and model tuning is expected. Knowledge of cloud platforms like AWS, GCP, and Azure for AI model deployment is required, along with familiarity in MLOps, CI/CD pipelines, and AI model monitoring. Additionally, a strong understanding of databases, APIs, and software development best practices will be beneficial for this role. In terms of soft skills, we are looking for individuals with strong analytical and problem-solving abilities. The ideal candidate should be able to work effectively both independently and as part of a team. Excellent communication and documentation skills are also crucial for this position. Preferred qualifications for this role include experience with LLMs (Large Language Models) and Generative AI, as well as an understanding of Graph Neural Networks, Transformers, or AutoML. Exposure to Big Data Technologies such as Spark and Hadoop is a plus, along with prior experience in AI ethics and explainability. The desired candidate profile should hold a B-tech/M.C.A/M.sc degree in AI, Machine Learning, or a related field, along with at least 3 years of experience in AI/ML development. This is a full-time, permanent role with the opportunity to work with cutting-edge technologies in the IT-Software / Software Services industry. The salary offered is competitive and aligned with industry standards. If you are passionate about AI and machine learning and eager to make a meaningful impact in this field, we encourage you to apply for the role of AI Developer at our company. Established in 1984, Pulsus is a prominent player in the healthcare informatics platform, catering to medical and pharma professionals worldwide. With endorsements from international medical associations and industries, Pulsus has built a strong reputation within the scientific and industrial communities. Join us as we continue to expand our reach across Europe, America, Asia, Australia, and beyond. For any job-related queries, please contact us at gurgaoncareers@pulsus.com. For general inquiries, reach out to us at contact@pulsus.com or call us at 01246262700. Company Address: Pulsus Healthtech LLP 6th Floor, Tower-B, Building 14, IT/ITES-SEZ DLF Cyber City Developers Ltd Sector 24 & 25A, DLF Phase-III Gurgaon, Haryana 122002,

Loti AI specializes in protecting major celebrities, public figures, and corporate IP from online threats, focusing on deepfake and impersonation detection. Founded in 2022, Loti offers likeness protection, content location and removal, and contract enforcement across various online platforms including social media and adult sites. The company's mission is to empower individuals to control their digital identities and privacy effectively. We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what's possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications And Skills: Education: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence.,

As an AI Researcher at our company, you will be part of a dynamic team that is dedicated to leveraging AI technologies to revolutionize the retail industry. Your primary responsibility will be to design, develop, and implement cutting-edge AI models and algorithms that address the specific challenges faced in the retail sector. You will have the opportunity to work on a wide range of projects, including personalized recommendation systems, workforce optimization, demand sensing, multi-agent systems, digital humans, personified AI, and embodied AI. Your role will involve researching and developing state-of-the-art machine learning, deep learning, and reinforcement learning models to tackle retail-specific problems effectively. In this position, you will play a crucial role in defining and leading the research agenda for AI within our organization. This will involve focusing on generative AI, multi-agent systems, and other emerging advancements such as reasoning optimization and AI governance. You will collaborate closely with cross-functional teams, including data engineers, product managers, and domain experts, to identify high-impact use cases in retail such as pricing strategies, supply chain efficiency, and customer behavior prediction. Furthermore, you will be responsible for analyzing large datasets from retail environments to extract valuable insights and validate the performance of the AI models developed. You will also work on prototyping and deploying scalable AI solutions that seamlessly integrate into retail workflows, ensuring maximum efficiency and effectiveness. As an AI Researcher, you will be expected to stay updated on the latest trends and advancements in the field of AI, exploring new techniques and adapting them to address the unique challenges faced in the retail industry. Additionally, you will have the opportunity to publish your findings, contribute to internal knowledge sharing, and potentially represent our company at industry conferences or in academic publications. If you are passionate about AI and its applications in the retail sector, and if you possess the skills and motivation to drive innovation in this field, we invite you to join our team and be a part of our mission to transform the retail industry through AI-driven solutions.,

As an AI/ML Engineer (Python Developer) at Cybernetyx, you will play a crucial role in the development of intelligent and adaptable AI agents. Your primary responsibility will be to design and develop sophisticated AI/ML models that can be utilized across various industries, ranging from automation and analytics to interactive systems. By leveraging your skills, you will contribute to the creation of systems that can learn, adapt, and effectively solve complex real-world problems, thereby shaping the future of AI and participating in groundbreaking innovations. Your tasks will involve working with diverse datasets to construct robust data pipelines and derive valuable insights that will drive the development of AI agents. Additionally, you will be responsible for deploying AI models into real-world applications, ensuring optimal performance, scalability, and reliability. Your role will also entail researching and implementing cutting-edge AI techniques, exploring new algorithms and methodologies to enhance the capabilities of the AI agents. Collaborating with a multidisciplinary team will be essential, as you share knowledge, foster innovation, and contribute to a dynamic development culture. To excel in this role, you should possess at least 3-4 years of experience in developing and deploying AI/ML models across various applications. Strong proficiency in Python and familiarity with key AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn are essential. Experience in working with diverse datasets and deploying models on cloud platforms like AWS, GCP, or Azure is highly beneficial. A genuine passion for constructing AI agents that tackle real-world challenges across different sectors, coupled with excellent problem-solving skills, a collaborative mindset, and a thirst for continuous learning, will make you a great fit for this position. Moreover, any prior experience in areas like Reinforcement Learning, Time Series Analysis, Large Language Models (LLMs), or Generative AI is preferred. Joining Cybernetyx will offer you the opportunity to make a cross-industry impact by contributing to the development of AI agents that revolutionize various domains. You will be part of a team that is at the forefront of AI advancement, engaging in cutting-edge innovation. The company is committed to your professional growth through challenging projects and upskilling opportunities, fostering a dynamic culture that thrives on collaboration and innovation. It is important to note that this position is based in Bangalore and requires on-site presence five days a week. Immediate joiners or candidates with a notice period of 15 days or less are preferred. Additionally, eligibility is restricted to male candidates as per internal team requirements. If you are enthusiastic about creating powerful and adaptable AI systems that have a significant impact across multiple industries, we encourage you to apply. Share your resume along with a brief cover letter highlighting your experience and passion for AI innovation. Let's work together to shape the future of intelligent systems.,

The Artificial Intelligence team at TDMM is seeking a dedicated and creative Computer Scientist with a solid background in applied mathematics to contribute to the development of cutting-edge technology, including multimodal systems and Foundation models. As a member of our team, you will have the opportunity to play a key role in our AI initiatives and drive innovation within the financial services sector. Your responsibilities will include leveraging TDMM's diverse multimodal financial datasets and extensive computing resources to accelerate advancements in LLMs and multimodal systems. By working closely with large teams and external collaborators, you will help ensure that our model team remains at the forefront of scientific innovation. Additionally, you will be expected to present your research findings effectively. Basic Qualifications: - PhD or Master's degree with at least 3 years of applied research experience - Over 3 years of experience in developing machine learning models for business applications - Proficiency in programming languages such as Python - Strong background in neural deep learning methods and machine learning techniques - Experience in data-driven model development, time series analytics, stochastic optimization, predictive analytics, and more Preferred Qualifications: - PhD in Computer Science, Mathematics, or a related field - Familiarity with LLMs, vision-based transformers, and multimodal architectures - Thorough understanding of the AI/ML technology stack - Expertise in CNN, Transformer, and Graph Neural Network - Knowledge of basic Reinforcement Learning algorithms - Experience with generative deep learning models like CNNs, GANs, VAEs, etc. - Proficiency in large-scale machine learning systems, including profiling, debugging, and assessing system performance and scalability - Experience in cross-domain/multi-task model training, evaluation using diverse datasets, and deployment across multiple products - Track record of publications in top-tier peer-reviewed conferences or journals If you meet the above qualifications and are excited about the opportunity to work on industry-leading AI technology in the financial services sector, we encourage you to apply.,

You should have expertise in Generative AI with a good understanding of various techniques such as GANs, VAEs, and other relevant architectures. Your experience should include applying these techniques to real-world problems like image and text generation. Familiarity with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling is required. Exposure to both API-based and open-source LLMs based solution design is preferred. In terms of technical proficiency, you should have knowledge in machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Proficiency in data science tools like NumPy, SciPy, Pandas, Matplotlib, TensorFlow, and Keras is essential. Experience with cloud computing platforms such as AWS, Azure, and GCP is also necessary. Additionally, familiarity with natural language processing (NLP), Transformer models, attention mechanisms, word embeddings, computer vision, convolutional neural networks, recurrent neural networks, object detection, robotics, reinforcement learning, motion planning, and control systems is required. Understanding data ethics including bias in machine learning and fairness in algorithms is also expected. As an Infoscion, your responsibilities will include diagnosing customer issues, designing innovative solutions, facilitating deployment, and ensuring client satisfaction. You will be involved in developing proposals, solution design, product configuration, conducting pilots, resolving queries, demonstrating solutions, and preparing effort estimates. Leading small projects and contributing to organizational initiatives to provide high-quality solutions to customers is also part of the role. Your primary skills should encompass Artificial Intelligence, Computer Vision, Big Data, and Natural Language Processing (NLP). Proficiency in Machine Learning with Python is a must. Moreover, you should have the ability to develop value-creating strategies, knowledge of software configuration management systems, and awareness of the latest technologies and industry trends. If you possess the required skills and are keen on helping clients navigate their digital transformation journey, this opportunity at Infosys is ideal for you.,

As an AI/ML Agent Developer at EXL, you will play a crucial role in designing, developing, and deploying intelligent agents within a multi-agent orchestration framework. Your primary responsibility will be to create autonomous agents that utilize LLMs, reinforcement learning, prompt engineering, and decision-making strategies to handle complex data and workflow tasks. Working closely with cross-functional teams, you will help in implementing AI solutions across various use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Your key responsibilities will include designing and implementing modular AI agents capable of autonomous decision-making, engineering prompt strategies for task-specific agent workflows, integrating ML models into agent behavior pipelines, contributing to multi-agent orchestration logic, collaborating with different teams for deployment at scale, and monitoring and refining agent performance. To be successful in this role, you are required to have a Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field along with at least 3 years of experience in developing AI/ML systems. You should also possess proficiency in Python and ML libraries, experience with LLM frameworks, a strong grasp of NLP, reinforcement learning, and decision systems, as well as knowledge of cloud environments and CI/CD for AI systems. Preferred skills include familiarity with multi-agent frameworks, experience in building autonomous AI applications for data governance, annotation, or knowledge extraction, background in human-in-the-loop systems, and understanding of vector databases and semantic search. By joining our team, you will have the opportunity to work at the forefront of AI orchestration and intelligent agents, collaborate with a high-performing team driving innovation in enterprise AI platforms, and shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.,

Job Description SENIOR ASSOCIATE, OPS BUSINESS TECHNOLOGY LIAISON At BNY, our culture allows us to run our company better and enables employees growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the worlds investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance and this is what is all about. Join us and be part of something extraordinary. Were seeking a future team member for the role of SENIOR ASSOCIATE, OPS BUSINESS TECHNOLOGY LIAISON to join our ALTERNATIVES OPERATION team. This role is located in PUNE. In this role, youll make an impact in the following ways: Analyze existing business processes to identify areas for improvement and optimization. Design and implement new processes that enhance efficiency, reduce costs, and improve overall performance. Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives. Develop and maintain process documentation, including process maps, workflows, and standard operating procedures. Conduct process audits and assessments to ensure compliance with established standards and identify opportunities for continuous improvement. Provide training and support to employees on new processes and tools. Monitor and measure the effectiveness of implemented processes and make necessary adjustments as needed. Stay up to date with industry trends and best practices in the business process reengineering. Qualifications Bachelors degree in business administration, Engineering, or a related field. A masters degree is preferred. 5-7 years of experience in business process reengineering, process improvement, or a related field. Strong analytical and problem-solving skills. Proficiency in process mapping and modeling tools such as Visio, Lucid chart, or similar. Experience with digital tools such as Alteryx, AYR, UiPath, and MS Power Tools. Proficiency in programming languages such as Python, R, and SQL.. Experience in AI, Machine Learning, Reinforcement Learning, Natural Language Processing Expertise in the complex processes of integrating ML/AI across existing and modified applications. Excellent communication and exposure to presentation tools like Canva, Flourish etc. Ability to work collaboratively with cross-functional teams. Certification in Six Sigma, Lean, or a related methodology is a plus. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Heres a Few Of Our Recent Awards Americas Most Innovative Companies, Fortune, 2025 Worlds Most Admired Companies, Fortune 2025 Most Just Companies, Just Capital and CNBC, 2025 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your lifes journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. Show more Show less

As an AI/ML Engineer, your primary responsibility will be deploying AI/ML solutions to productions and deriving value from them. You will collaborate with teammates and engage with stakeholders, data team, business team, and product team to develop End-to-End solutions. Your support to the dev-ops team in deploying and integrating solutions with existing systems will be crucial. Ensuring Data Quality and Availability is a key aspect of your role, involving handling missing, unstructured, or inconsistent data for model training and validation. Developing models that perform effectively in real-world scenarios, optimizing scalability of AI solutions, and keeping abreast of rapid advances in AI are part of your responsibilities. You will also need to ensure ethical and regulatory compliance of AI models, maintaining transparency, fairness, and adherence to regulations and ethical guidelines. To be successful in this role, you should have 2 - 4 years of relevant experience. The preferred educational qualifications include a Masters in Science, Statistics, Machine Learning, Data Science, or a Bachelors in Engineering, Technology, Data Science, or Computer Science. Your functional skills should encompass working knowledge of the Data Science toolbox, including Python, SQL, Jupyter Notebook, Azure/AWS cloud, PySpark, TensorFlow, PyTorch, Keras, and other Big Data tools. An in-depth understanding of AI/ML models, particularly in LLM, Reinforcement Learning, Computer Vision, and Deep Learning, is essential. Expertise in NLP, Computer Vision, and Speech technology (STT, TTS) will be advantageous. On the behavioral front, you should possess the ability to align technology with business objectives, thrive on innovation, and have a problem-solving mindset for experimentation. Your focus should be on achieving results with excellence in execution, maintaining customer orientation, and exuding passion and energy at work. A positive "Can Do and Will Do" attitude will be instrumental in driving success in this role.,

By submitting your email address and any other personal information to this website, you consent to such information being collected, held, used and disclosed in accordance with our PRIVACY POLICY and our website TERMS AND CONDITIONS OUR STORY: At ContractPodAi, we&aposre pioneering the future of legal with Leahthe operating system for legal. Leah Agentic AI coordinates specialized AI agents across Leahs suite of solutions, including industry-leading Contract Lifecycle Management (CLM), to transform how legal teams work and create value. Leah doesn&apost just automate tasksit uncovers hidden opportunities and transforms legal knowledge into business advantage. Our platform breaks down silos between legal, business, and executive teams, helping organizations discover revenue opportunities, minimize risks, and turn legal insights into strategic decisions. We know innovation happens when great people come together to solve business problems. ContractPodAi is a fast-growing team of innovators spread across London, New York, Glasgow, San Francisco, Toronto, Dubai, Sydney, Mumbai, Pune, and beyond. Here, you&aposll: Pioneer the future of legal AI and business transformation Make real impact by helping organizations unlock hidden value Collaborate with talented colleagues across continents. If you&aposre excited by cutting-edge technology, thrive in a fast-paced environment, and want to help build something revolutionary, we want to hear from you. THE OPPORTUNITY We are seeking an experienced AI Engineer to join our growing team at ContractPodAi. In this role, you will design, develop, and deploy intelligent systems that power next-generation features in our contract lifecycle management (CLM) platform. You will work at the intersection of machine learning, software engineering, and agentic AI to create autonomous, goal-driven agents capable of reasoning, learning, and acting in dynamic environments. This is your opportunity to play a pivotal role in advancing the capabilities of legal tech with powerful agent-based systems built on the latest advancements in large language models, reinforcement learning, and autonomous AI frameworks. WHAT YOU WILL DO: Architect and implement scalable agentic AI systems that autonomously execute complex workflows and reason over legal data. Research, prototype, and productionize ML/DL models, especially in natural language processing and understanding (NLP/NLU). Build and deploy intelligent legal agents that can interpret documents, make decisions, and collaborate with users or other agents to complete multi-step tasks. Utilize modern frameworks and platforms (e.g., LangChain, LangGraph AutoGen, OpenAI Function Calling, Semantic Kernel) to build multi-agent workflows. Fine-tune and integrate large language models (LLMs) using PEFT, LoRA, and RAG techniques tailored to legal domain challenges. Design and implement robust infrastructure for managing AI lifecycle, including training, inference, monitoring, and continuous learning. Collaborate with legal experts, product managers, and engineering teams to create explainable and trustworthy AI systems. Contribute to the development of our AI strategy for agent-based automation within legal operations and contract management. WHAT YOU WILL NEED: 4+ Years of experience and a strong background in computer science, software engineering, or data science with a deep focus on machine learning and NLP. Demonstrated experience building or integrating agentic AI systems (e.g., AutoGPT-style agents, goal-oriented LLM pipelines, multi-agent frameworks). Proficiency in Python and ML/NLP libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, and Spacy. Experience developing and scaling ML models (including LSTMs, BERT, Transformers) for real-world applications. Understanding of LLM training (e.g., OpenAI, LLAMA, Falcon), embeddings, and prompt engineering. Hands-on experience with Reinforcement Learning (e.g., PPO, RLHF, RLAIF). Experience extracting text and semantic information from structured and unstructured documents (PDFs, Images, etc.). Comfort working in Agile/Scrum environments and collaborating across cross-functional teams. Passion for innovation in AI and a strong desire to build autonomous systems that solve complex, real-world problems. BENEFITS: Competitive salary Opportunity to work in a fast-moving, high growth SaaS company Paid Time off Generous Employee Referral program At ContractPodAi we believe in creating a diverse and inclusive workplace where everyone feels heard and valued. We are proud to be an Equal Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Show more Show less

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are We are seeking a highly motivated Senior Data Scientist with strong technical expertise, business acumen, and strategic problem-solving abilities . In this role, you will independently own and build forecasting models. You will work closely with stakeholders across Product, Data Engineering & Analytics, and Business Strategy to identify opportunities to resolve business problems. This is a high-impact individual contributor role. What Youll Do Work in a dynamic and innovative company to develop cutting-edge solutions. Perform advanced data analytics to influence decision makers. Leverage data from diverse sources to provide insights and build new data driven tools. Partner with engineering teams to continuously improve our data quality. Develop machine learning based applications using supervised and unsupervised models using Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making. Develop and support models to enable things such as prescriptive insights, automated decisioning, and insights. Develop experiments to understand model impact, monitor live model analytics, and manage training and retraining pipelines. Work with stakeholders to intake complicated business problems and translate them into solvable data science projects. Partner with data engineering to take your model from development to deployed infrastructure. Brainstorm future use cases and contribute to the learning culture of the data science team. Partner with and mentor other data scientists and data analysts. Partner with multiple marketing teams, manage multiple projects and help conceptualize applications that directly drive company growth and strategy. You will connect machine learning applications to business needs and help facilitate process changes based on algorithmic solution implementation. What Youll Need You have Data Science experience building and validating machine learning and forecasting models in Python for a minimum of 5 years. You love performing advanced analytics to find insights and patterns. You have experience in supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, k-means and hierarchical clustering, causal models, mixture models and experience in advanced modeling techniques such as reinforcement learning, neural networks, and natural language modeling. You have experience in delivering natural language projects utilizing techniques such as text summarization, topic modeling, entity extraction, semantic encoding, and valence analysis You have experience working in an agile business setting. You have experience with relational cloud databases like BigQuery and Snowflake and are comfortable working with unstructured datasets such as unstructured text. WHATS IN IT FOR YOU At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Show more Show less

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

You are an experienced Software Engineer specializing in Machine Learning with at least 2+ years of relevant experience. In this role, you will be responsible for designing, developing, and optimizing machine learning solutions and data systems. Your proven track record in implementing ML models, building scalable systems, and collaborating with cross-functional teams will be essential in solving complex challenges using data-driven approaches. As a Software Engineer - Machine Learning, your primary responsibilities will include designing and implementing end-to-end machine learning solutions, building and optimizing scalable data pipelines, collaborating with data scientists and product teams, monitoring and optimizing deployed models, staying updated with the latest trends in machine learning, debugging complex issues related to ML systems, and documenting processes for knowledge sharing and clarity. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related fields. Your technical skills should include a strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, experience with data processing tools like Pandas, NumPy, and Spark, proficiency in SQL and database systems, hands-on experience with cloud platforms (AWS, GCP, Azure), familiarity with CI/CD pipelines and Git, and experience with model deployment frameworks like Flask, FastAPI, or Docker. Additionally, you should possess strong analytical skills, leadership abilities to guide junior team members, and a proactive approach to learning and collaboration. Preferred qualifications include experience with MLOps tools like MLflow, Kubeflow, or SageMaker, knowledge of big data technologies such as Hadoop, Spark, or Kafka, familiarity with advanced ML techniques like NLP, computer vision, or reinforcement learning, and experience in designing and managing streaming data workflows. Key Performance Indicators for this role include successfully delivering optimized and scalable ML solutions within deadlines, maintaining high model performance in production environments, and ensuring seamless integration of ML models with business applications. Join us in this exciting opportunity to drive innovation and make a significant impact in the field of Machine Learning.,

As an Artificial Intelligence (AI) Developer in our team, you will have the exciting opportunity to blend cutting-edge AI techniques with scalable web application architectures to design and build intelligent systems. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Your responsibilities will include full-stack development, where you will architect, design, and develop both frontend and backend components of AI-driven web applications. You will build responsive and user-friendly interfaces using modern JavaScript frameworks such as React, Angular, or Vue.js, along with robust backend services using technologies like Node.js, Django, or .NET. Furthermore, you will be responsible for developing and integrating secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leveraging cloud platforms like AWS, Azure, or GCP, you will deploy and manage scalable applications and services effectively. Collaborating with data scientists, you will integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. You will optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. In terms of DevOps and deployment, you will implement CI/CD pipelines, containerization using tools like Docker and Kubernetes, and automated testing to ensure efficient and reliable releases. Monitoring application performance and troubleshooting issues in real-time will be essential to maintain high-quality production environments. Your role will also involve close collaboration with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Documenting development processes, API specifications, and integration practices will be crucial to support future enhancements and maintenance. To excel in this role, you must have a degree in Computer Science, Data Science, Engineering, or a related field. Additionally, you should possess a minimum of 5 years of experience with full-stack development and at least 2 years of experience with AI development. Hands-on experience in programming languages like Python, JavaScript (or TypeScript), and/or C#, along with expertise in front-end and backend frameworks, cloud platforms, containerization, and data management, will be essential. If you are detail-oriented, possess strong problem-solving, analytical, and communication skills, and have a passion for continuous learning and innovation, this role is perfect for you. Join us at the intersection of AI and full-stack web development to create robust, intelligent systems that scale in the cloud while delivering intuitive and responsive user experiences.,