9198 Pytorch Jobs - Page 12

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come i Job Description REQUIREMENTS: Total experience 13+years. Hands on working experience in data science with a focus on predictive modeling and optimization. Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g., AWS, Azure, GCP). Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques. Familiarity with Generative AI fundamentals and hands-on experience with RAG, LangChain, LlamaIndex, and prompt engineering. Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management. Experience in Reinforcement Learning, Ant Colony Optimization, or other advanced AI methodologies. Familiarity with containerization tools (e.g., Docker, Kubernetes) for model deployment. Hands-on experience with version control, MLflow, or similar experiment tracking tools. Strong interpersonal and communication skills to interact with business and technical teams effectively. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

We are seeking a skilled Python Developer with expertise in Artificial Intelligence (AI) and a strong background in on-premise systems . The ideal candidate will be proficient in Python, with hands-on experience in AI and Machine Learning (ML), as well as working knowledge of MariaDB and Linux environments. This position is focused on maintaining and developing AI solutions exclusively on-premise , with no reliance on cloud-based services . Key Responsibilities: Design, develop, and maintain Python applications with a focus on AI and ML algorithms, exclusively on-premise systems. Develop and maintain robust Python-based APIs to support integration with front-end applications. Collaborate with data scientists and engineers to integrate AI solutions on Linux-based infrastructure. Develop AI models and pipelines for tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics. Implement and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Set up and manage data storage and retrieval systems using MariaDB. Write reusable, testable, and efficient code following best practices in an on-premise Linux environment. Debug, troubleshoot, and improve the performance of AI models and applications in a server-based setup. Stay updated with the latest AI and ML trends, particularly those applicable to on-premise solutions. Document development processes, model performance, and findings. Required Skills and Qualifications: Proficiency in Python and Python libraries related to AI and data science (e.g., NumPy, pandas, SciPy). Strong experience with AI frameworks like TensorFlow, PyTorch, Keras, or similar. Experience developing RESTful APIs using Python frameworks such as FastAPI or Flask. In-depth knowledge of Linux systems (no Windows environments). Expertise in MariaDB for database management in an on-premise setting. Familiarity with server-based computing environments (no cloud solutions). Excellent problem-solving skills and experience working in a collaborative, on-premise team environment. Strong mathematical foundation, especially in statistics, linear algebra, and probability. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹25,000.00 per month Experience: API: 4 years (Required) Back-end development: 4 years (Required) Python: 4 years (Required) PyTorch: 4 years (Required) Application Deadline: 07/08/2025 Expected Start Date: 08/08/2025

About the Role: We are seeking an experienced AI Engineer who brings together the best of data analytics, cloud computing, and scalable AI application development . You will be responsible for designing, developing, and deploying AI solutions that leverage real-time data pipelines, APIs, and containerized microservices. Key Responsibilities: Develop, deploy, and maintain AI/ML models and pipelines in production environments. Build and manage FastAPI -based APIs to serve AI models and analytics results. Design scalable and secure cloud-based architectures for AI services (AWS/Azure/GCP). Containerize applications using Docker and orchestrate with Kubernetes . Collaborate with data scientists, backend engineers, and DevOps teams to integrate models into applications. Optimize data ingestion, preprocessing, and model inference pipelines for performance and reliability. Monitor and improve model accuracy and system performance post-deployment. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Engineering, or related field. 3+ years of experience in AI/ML engineering or backend data systems. Proficient in Python with experience in FastAPI , NumPy, pandas, and ML libraries (scikit-learn, PyTorch, or TensorFlow). Strong understanding of cloud services (AWS/GCP/Azure) and deployment best practices. Hands-on experience with Docker and Kubernetes for scalable service orchestration. Solid background in data analytics , including ETL, big data processing, and model interpretation. Familiarity with CI/CD tools and MLOps frameworks is a plus. Nice to Have: Experience with real-time data pipelines (Kafka, Spark Streaming, etc.) Knowledge of database systems (SQL and NoSQL) Exposure to monitoring tools like Prometheus, Grafana, or ELK stack Prior experience working with edge AI or distributed ML environments Job Type: Full-time Pay: ₹15,773.05 - ₹52,938.83 per month Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Proven experience as a Data Scientist or similar role in a consulting or corporate environment. Proficient in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and big data technologies. Strong knowledge of machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Research and develop cutting-edge AI models and components to solve client-specific challenges. Collaborate with clients and cross-functional teams to define project scopes and deliver innovative AI solutions. Optimize AI algorithms for performance and scalability. Mandatory skill sets: TensorFlow, PyTorch, Scikit-learn, SQL Preferred skill sets: TensorFlow, PyTorch, Scikit-learn, SQL Years of experience required: 4 – 7 yrs Education qualification: B.tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills PyTorch, Structured Query Language (SQL), Tensorflow Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Company Description About Freshworks Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Function: Engineering AI Reports To: VP - Engineering AI Team Size: 20 to 40 (Data Scientists, ML Engineers, Software Engineers) We are looking for a Senior Director – Engineering AI to lead the charter for machine learning, and GenAI initiatives across Freshworks’ platform. This leader will be responsible for defining the AI vision, leading high-impact cross-functional programs, embedding intelligence into our product suite, and scaling a world-class data science function globally. You’ll operate at the intersection of business, product, and technology — steering the strategic use of AI to solve customer problems, improve operational efficiency, and drive revenue growth. Key Responsibilities Strategy & Vision Define and own the AI roadmap aligned with company objectives. Drive the long-term strategy for AI/ML initiatives, and data monetization opportunities. Evangelize a culture of experimentation, evidence-based decision-making, and responsible AI. Team Leadership Hire, mentor, and develop a world-class team of data scientists, machine learning and engineers. Foster a collaborative, inclusive, and high-impact environment with a strong learning and delivery mindset. Cross-functional Leadership Partner closely with Engineering and Product teams to embed ML models into products and services. Collaborate with stakeholders across business functions to identify and prioritize use cases for AI. Technical Execution Oversee development and deployment of scalable ML models, statistical models, NLP solutions, and recommendation engines. Ensure rigorous experimentation and model validation using state-of-the-art techniques. Champion data governance, quality, and security practices. Metrics & Impact Define KPIs and success metrics for data science initiatives. Deliver measurable impact on revenue growth, operational efficiency, and customer experience. Qualifications Professional Experience 12–18 years of experience in AI, with at least 5 years in senior leadership roles managing large data science teams. Proven experience delivering ML-based products and solutions in a SaaS or digital platform environment. Demonstrated ability to influence product roadmaps and drive AI strategy in large-scale environments. Technical Expertise Deep understanding of applied machine learning, NLP, deep learning, causal inference, optimization, and GenAI (LLMs, embeddings, retrieval pipelines). Strong hands-on foundation in Python, SQL, Spark, and ML frameworks such as PyTorch, TensorFlow, scikit-learn. Familiarity with modern cloud data stacks (e.g., Snowflake, Databricks, AWS Sagemaker, Vertex AI, LangChain/RAG pipelines). Drive operational efficiency and engineering productivity across AI and data platform teams through streamlined processes, tooling, and automation. Establish and enforce standardized practices for data engineering, model development, and deployment across teams to ensure consistency, quality, and reuse. Champion platform-first thinking—building reusable components, shared services, and self-service capabilities to accelerate experimentation and delivery. Experience with production-grade ML deployment, experimentation, and performance tracking. Leadership & Influence Strong executive presence with the ability to influence senior stakeholders across Product, Engineering, Sales, and Marketing. Effective communication of complex technical concepts to diverse audiences including C-suite, product managers, and non-technical partners. Lead cross-functional initiatives to optimize end-to-end ML workflows, from data ingestion to model monitoring, reducing cycle times and increasing model velocity. Partner with engineering, product, and infrastructure teams to align roadmaps and eliminate friction in building, testing, and deploying AI solutions at scale. Passionate about building a data-driven culture and driving talent development across the organization. Nice to Have Experience in customer experience, CRM, service management, or sales tech domains. Hands-on exposure to LLM fine-tuning, prompt engineering, and GenAI application development. Hands-on experience developing and scaling ML pipelines and models using Databricks and related tools (e.g., MLflow,). etc Participation in AI ethics or responsible AI governance efforts. Open-source contributions or published research in relevant domains. Why Join Freshworks Shape the AI-first future of one of the fastest-growing SaaS companies globally. Build and ship data-driven solutions at scale, impacting 60,000+ businesses. Work with a global leadership team that values innovation, autonomy, and customer-centricity. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 05th August 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

About Luxolis: Luxolis is at the forefront of building cutting-edge robotic systems with applications spanning autonomous navigation, augmented reality, and advanced perception. We are a fast-growing company developing intelligent solutions that push the boundaries of computer vision, robotics, and deep learning. Join us as we innovate and shape the future of autonomous systems. Position Overview: We are seeking a highly skilled Deep Learning SLAM Engineer to join our dynamic team working on the development and deployment of state-of-the-art simultaneous localization and mapping (SLAM) algorithms that leverage deep learning. As part of the Robotics & Computer Vision team, you will work on solving critical challenges related to robust environment perception, motion tracking, and spatial mapping in dynamic, real-world settings. The ideal candidate will have strong expertise in both SLAM and deep learning techniques, along with a passion for robotics and autonomy. Key Responsibilities: Develop and Implement SLAM Algorithms: Design and optimize state-of-the-art SLAM algorithms that integrate deep learning models for robust and accurate localization and mapping in dynamic environments. Deep Learning Integration: Apply deep learning techniques (e.g., CNNs, RNNs, transformers) to improve traditional SLAM systems for better feature extraction, object detection, and semantic understanding. Sensor Fusion: Work with multimodal sensor data, including LiDAR, RGB cameras, depth sensors, and IMUs, to enhance SLAM performance under challenging conditions (e.g., low light, motion blur, moving objects). Algorithm Optimization: Focus on optimizing SLAM systems for real-time performance, scalability, and resource efficiency (e.g., memory, processing power). Testing and Validation: Design and run extensive tests to validate the robustness, accuracy, and real-world applicability of SLAM systems across different environments (urban, indoor, outdoor, etc.). Collaboration: Work closely with cross-functional teams including hardware engineers, software developers, and data scientists to integrate SLAM algorithms into autonomous systems (robotics, drones, AR devices). Research & Innovation: Stay up to date with the latest advancements in SLAM, deep learning, and robotics, and contribute to innovative solutions that drive the next generation of autonomous technologies. Documentation & Reporting: Maintain clear documentation for algorithms, tests, and performance metrics, and report progress to the team and stakeholders. Qualifications: Educational Background: MSc or PhD in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on SLAM, computer vision, or machine learning. Technical Skills: Strong knowledge of SLAM algorithms (e.g., ORB-SLAM, DSO, Visual-Inertial SLAM) and their real-world applications. Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras) and experience applying them to perception and localization tasks. Experience with sensor fusion techniques for integrating data from LiDAR, cameras, IMUs, etc. Familiarity with 3D reconstruction, point cloud processing, and structure-from-motion (SfM). Expertise in programming languages such as Python, C++, or ROS for algorithm development and integration. Experience: 3+ years of experience working with SLAM and/or deep learning in robotics or computer vision applications. Hands-on experience with autonomous systems, mobile robots, or drone navigation. Strong problem-solving skills and the ability to develop innovative solutions to challenging technical problems. Desirable: Experience with reinforcement learning or optimization techniques for improving SLAM robustness. Familiarity with ROS (Robot Operating System) and tools for robot simulation and visualization (e.g., Gazebo, RViz). Previous experience with deployment of SLAM systems in real-world applications.

Role Overview Our client is seeking a hands-on and high-caliber Engineering Manager to lead a team of engineers working at the intersection of deep learning, systems engineering, and scalable infrastructure. This role is critical in driving execution across model development, experimentation, and deployment of cutting-edge LLMs and reasoning models. You’ll work closely with research, product, and infrastructure teams to help translate frontier research into robust, production-ready systems. Key Responsibilities Team Leadership: Lead, mentor, and grow a team of ML engineers, research engineers, and platform developers. Project Execution: Own technical delivery across multiple projects involving model training, evaluation, fine-tuning, and deployment. Cross-functional Collaboration: Work closely with research scientists, product managers, and infra teams to define project scope and ensure timely delivery. Engineering Best Practices: Drive coding standards, experimentation frameworks, CI/CD pipelines, and model reproducibility. Infra & Scale: Contribute to the design and optimization of large-scale training systems, MLOps pipelines, and serving infra for high-throughput inference. Ideal Candidate Profile 8–12 years of total experience, with 2–4 years in an engineering management or tech lead capacity. Hands-on experience in building and deploying LLMs, NLP systems, or large-scale ML applications. Familiarity with PyTorch, HuggingFace, or other deep learning frameworks. Experience with distributed training, inference optimization, and working on large datasets. Ability to guide architectural decisions while still being comfortable diving into code and debugging. Strong team management and mentorship experience. Educational background in Computer Science, Machine Learning, or related technical fields (B.Tech/M.Tech/PhD).

highly skilled and experienced Design and Development Engineer with a minimum of 5 years of relevant expertise in the design and development of industrial processing equipment and solutions for the cakes, pies, cookies, biscuits, crackers, and snacks industry. Responsibilities / Tasks We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, statistical methods, and machine learning techniques. They will be responsible for transforming data into actionable insights to drive decision-making processes and improve business performance. Responsibilities Analyze large datasets to identify trends, patterns, and insights. Develop and implement machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Present findings and recommendations to stakeholders through reports and visualizations. Ensure data integrity and accuracy by performing regular data validation and cleansing. Stay updated with the latest industry trends and advancements in data science and machine learning. Your Profile / Qualifications Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or related field. >5 years proven experience as a Data Scientist or in a similar role. Strong proficiency in programming languages such as Python, SQL. Experience with data visualization tools like Tableau, Power BI, or Matplotlib. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to convey complex information to non-technical stakeholders. Experience with big data technologies such as Hadoop, Spark, or cloud platform. Did we spark your interest? Then please click apply above to access our guided application process.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 04th August 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 04th August 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

About the job Sarthy Venture Investment Partners is inviting applications for a 3-month internship across four functional areas. This program is designed for students and recent graduates seeking structured exposure to India’s early-stage investing and startup ecosystem. Duration: 3 months Timings: Flexible, minimum 10 hours per week Eligibility: PG/Degree students Stipend: Nil for the first 3 months; ₹5,000 per month if retained thereafter Location: Remote Open Positions 1. Investment Banking Intern (1 Opening) Requirements: Prior experience with startups, angel networks, venture capital firms, or startup facilitators is mandatory Understanding of startup financing, pitch decks, and due diligence Responsibilities: Assist in sourcing and evaluating early-stage investment opportunities Support internal investment operations and founder communications Contribute to documentation, research, and investor interfacing 2. Program Management Intern – MINDS (1 Opening) Requirements: Excellent communication and stakeholder management skills Comfortable managing CRM workflows, customer queries, and operational processes Responsibilities: Manage onboarding and engagement of startups within the MINDS program Serve as the point of contact for customer (founder) engagement and issue resolution Support program logistics, internal coordination, and partner communication Track milestones, feedback, and relationship health 3. Content Creation & Social Media Management Intern (1 Opening) Requirements: Prior experience or strong interest in content writing, digital communication, or social media marketing Familiarity with startup ecosystem narratives and ability to write for business audiences Responsibilities: Create content across formats (posts, stories, founder profiles, landing pages) Manage Sarthy’s presence on platforms like LinkedIn Craft narratives around programs, success stories, and investment theses Coordinate with internal teams for brand-aligned communication 4. AI/ATAI Intern (1 Opening) Requirements: Background in AI/ML, data science, or computer vision Familiarity with tools like Python, OpenCV, TensorFlow/PyTorch, and dataset annotation platforms preferred Responsibilities: Support applied AI research under ATAI (Applied Tech for Alternate Investing) Assist in dataset preparation, model experimentation, and documentation Explore use cases across domains such as F&B analytics and investment tech General Expectations: Ability to work independently with minimal supervision Strong written and verbal communication skills Willingness to engage with fast-moving startup and investment environments Professionalism, attention to detail, and a learning mindset This is a structured opportunity to make meaningful contributions to early-stage investing, startup operations, program delivery, content strategy, and applied AI initiatives.

Role Summary: We are looking for a dynamic and technically adept Pre-Sales Consultant – AI/ML Services who will act as a bridge between the sales and delivery teams. You will be responsible for understanding client requirements, crafting AI/ML-driven solutions, and presenting them in a compelling manner to prospective customers. Key Responsibilities: Partner with sales teams to understand customer requirements and provide tailored AI/ML solution proposals. Conduct detailed discovery sessions to identify business problems that can be solved with AI/ML technologies. Prepare and deliver compelling product/service presentations, demos, and proof-of-concept engagements. Respond to RFPs, RFIs, and technical queries from clients with customized solution documentation. Collaborate with technical teams to design high-level architecture, use case frameworks, and success metrics. Stay updated with AI/ML trends, technologies, and competitive landscape. Build and maintain relationships with key technical stakeholders on the client side. Participate in strategy meetings to refine offerings and go-to-market approaches. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 4+ years of experience in a Pre-Sales, Solutions Consulting, or Technical Sales role in AI/ML or advanced analytics domain. Solid understanding of AI/ML concepts, data pipelines, model development, and deployment lifecycle. Ability to translate business problems into technical solutions using ML algorithms, NLP, Computer Vision, etc. Strong communication and presentation skills to engage with both technical and non-technical stakeholders. Familiarity with cloud platforms (AWS, Azure, GCP) and modern ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with enterprise clients in industries like BFSI, Retail, Healthcare, or Manufacturing is a plus. Preferred Qualifications: Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer). Experience with pre-sales tools like CRM systems, proposal builders, and demo environments. What We Offer: Opportunity to work on high-impact AI/ML projects with global clients. Dynamic work environment with a focus on innovation and continuous learning. Competitive salary and incentive structure. A collaborative culture that values transparency, ownership, and agility.

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits. This position is based in Bangalore. We work jointly from the office and offer some flexibility to work from home. Summary Dolby’s research division is looking for a volumetric imaging researcher to join Dolby’s research efforts to develop the next generation of volumetric or spatial scene understanding and representation technologies. In this position you will join the Multimodal Experience Lab within Dolby’s Advanced Technology Group. You will work with a seasoned team of researchers to develop volumetric scene representation, novel view synthesis, scene analysis and understanding, and scene rendering technologies. You will be the lead contributor to research the state of the art and then push beyond, specifically in domains related to the composition and de-composition of volumetric scenes, as well as understanding and manipulating lighting, shadows, and occlusion. The researcher is responsible for performing fundamental new research, transferring technology to product groups, and drafting patent applications. Main Responsibilities Perform cutting-edge research in computer graphics and view synthesis Work as a part of a top-notch research team. Define and execute research roadmaps Use good development methodology, including quality metrics and test content, to validate algorithmic solutions Use AI and deep learning techniques to create new solutions and enhance existing applications. Share knowledge via technical whitepapers, publications, and internal presentations Transfer technology to product groups and draft patent applications. Stay abreast of state-of-art research in the computer graphics/computer vision fields Requirements Ph.D. in Computer Science, Electrical Engineering, Applied Math, Physics, or similar Strong publication record with publications in major conferences/journals Strong background in view synthesis and/or light-field research Familiarity with various scene representation such as Gaussian Splatting or NeRF Demonstrated proficiency in computer graphics/computer vision R&D Experience with research-oriented programming languages (Python, Matlab, or C/C++) Experience building and testing models in Pytorch/Tensorflow environments Excellent written and verbal communication skills are required Strong team player, able to work with colleagues in research and software development fields Strong expertise in deep learning-based solutions Nice to have: Experience with real-time graphics (OpenGL/Cuda/DirectX/Vulkan) Experience with Pytorch3D Experience with Game engines (Unreal, Unity) Experience with XR environments, capture, and devices

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Proven experience as a Data Scientist or similar role in a consulting or corporate environment. Proficient in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and big data technologies. Strong knowledge of machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Research and develop cutting-edge AI models and components to solve client-specific challenges. Collaborate with clients and cross-functional teams to define project scopes and deliver innovative AI solutions. Optimize AI algorithms for performance and scalability. Mandatory Skill Sets TensorFlow, PyTorch, Scikit-learn, SQL Preferred Skill Sets TensorFlow, PyTorch, Scikit-learn, SQL Years Of Experience Required 4 – 7 yrs Education Qualification B.tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills PyTorch, Structured Query Language (SQL), Tensorflow Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

We are seeking a skilled and motivated Data Scientist with 1-3 years of experience to join our team. The successful candidate will develop and enhance machine learning (ML) models to analyze user interaction data collected through a mobile game application. This role will also involve contributing to research efforts to improve our models by incorporating additional data sources, such as facial expressions and gaze data from video content captured within the app. Key Responsibilities Model Development : Design, develop, and implement machine learning models to process and analyze finger kinetics data collected from a mobile game application. Data Analysis : Perform exploratory data analysis to identify patterns and insights from user interaction data, ensuring high-quality model inputs. Research & Innovation : Collaborate with cross-functional teams to research and integrate facial expression and gaze data from video content to enhance model performance and application capabilities. Model Optimization : Optimize ML models for accuracy, scalability, and efficiency, ensuring robust performance in a production environment. Data Pipeline Development : Build and maintain data pipelines to process and transform raw data into formats suitable for model training and evaluation. Experimentation : Conduct experiments to test hypotheses, validate model performance, and iterate on model designs based on results. Collaboration : Work closely with software engineers, product managers, and domain experts to integrate ML models into the game application and ensure seamless functionality. Documentation : Document model development processes, research findings, and technical specifications to support team collaboration and knowledge sharing. Qualifications Education : Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field. Experience : 1-3 years of experience in data science, machine learning, or a related role, preferably in a health tech or consumer-facing application environment. Technical Skills : Proficiency in Python or R for data analysis and model development. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Familiarity with data processing tools and libraries (e.g., pandas, NumPy). Knowledge of computer vision techniques for analyzing facial expressions and gaze data is a plus. Understanding of statistical methods and data visualization tools (e.g., Matplotlib, Seaborn). Soft Skills : Strong problem-solving skills and a curiosity-driven approach to research. Excellent communication skills to present complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a fast-paced, interdisciplinary team environment. Nice-to-Have : Experience with mobile application data or health-related datasets. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment. Knowledge of experimental design and A/B testing methodologies.

Role Overview We’re looking for, hands-on AI Engineer Intern who can design, prototype, and experiment with Agentic AI frameworks in real-world, high-stakes environments. You’ll work with a team of quants and engineers to integrate agentic reasoning with traditional ML workflows for use in financial data analysis, simulation, and autonomous decision-making. What You’ll Do Prototype agentic workflows using exsisting frameworks Build and test multi-agent systems for portfolio optimization, risk management, or market monitoring Design and run experiments for retrieval-augmented generation (RAG), chain-of-thought planning, and autonomous trading assistants Assist in the development of core ML models Work closely with quant researchers to turn research ideas into scalable code What We’re Looking For Must-Haves: Strong Python skills Experience with Agentic AI frameworks Solid grasp of ML fundamentals (supervised/unsupervised learning, model evaluation, overfitting, feature engineering) Experience with at least one ML/DL framework (PyTorch, TensorFlow, Scikit-learn) Familiarity with prompt engineering, RAG Ability to read and adapt research papers into working code Nice-to-Haves: Knowledge of quantitative finance or trading systems Exposure to RLHF or fine-tuning LLMs

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Generative AI Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that the applications meet high-quality standards. You will work on integrating generative AI models into various projects, which may include deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure that the solutions are effective and meet the needs of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Generative AI. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud. - Familiarity with natural language processing techniques. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 7.5 years of experience in Generative AI. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, utilizing generative AI models, and ensuring the integration of deep learning, neural networks, chatbots, and image processing technologies into your projects. You will collaborate with various teams to enhance the functionality and performance of AI-driven applications, contributing to innovative solutions that meet the needs of the organization and its clients. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI applications. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based in Hyderabad. - A 15 years full time education is required.

About the Company: Abekus.ai is building the future of learning and hiring . We help learners find relevant jobs and improve their skills through an adaptive, AI-powered platform driven by real-world use cases and community contributions. We’re a lean, fast-moving startup looking for AI interns who are curious, hands-on, and ready to apply AI in practical scenarios. You’ll work directly with the founding team and have a front-row seat to how real-world AI products are built. Roles & Responsibilities: Contribute to the development and fine-tuning of ML models using Python and PyTorch . Experiment with modern LLMs and generative AI models to solve real product challenges. Work with a variety of tools and frameworks like Transformers, LangChain, OpenAI API, LlamaIndex , and others for tasks such as classification, generation, and retrieval. Help build and optimize training scripts, inference pipelines, and evaluation tools. Conduct literature reviews or repo deep-dives to bring new ideas from the rapidly evolving AI ecosystem into production. Assist in cleaning, preprocessing, and analyzing datasets. Work closely with engineers and founders to prototype and test AI-powered features. Skills & Qualifications: Strong programming skills in Python . Good understanding of machine learning fundamentals (loss functions, metrics, overfitting, etc.). Some hands-on experience with deep learning libraries (e.g., PyTorch, TensorFlow). Familiarity with modern NLP and generative AI tools such as Hugging Face Transformers, OpenAI, Claude, LLaMA, LangChain, or similar. Awareness of ongoing trends in the AI/LLM space and eagerness to explore new tools and models. Self-motivated and proactive mindset — you’re not afraid to explore, experiment, and learn on the go. Bonus: You’ve worked on AI/ML side projects, GitHub repos, Kaggle competitions, or open-source contributions. Benefits: Mentorship and direct collaboration with the founding team . Real-world experience applying AI to product use cases. Ownership of small but impactful features and experiments. A fully remote and async-friendly work culture. Opportunity for long-term collaboration based on performance. Note: This is a hands-on, learning-intensive internship — ideal for someone who’s excited by AI and wants to grow by doing. If you're passionate about building meaningful things with AI, we’d love to hear from you.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Proven experience as a Data Scientist or similar role in a consulting or corporate environment. Proficient in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and big data technologies. Strong knowledge of machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Research and develop cutting-edge AI models and components to solve client-specific challenges. Collaborate with clients and cross-functional teams to define project scopes and deliver innovative AI solutions. Optimize AI algorithms for performance and scalability. Mandatory skill sets: TensorFlow, PyTorch, Scikit-learn, SQL Preferred skill sets: TensorFlow, PyTorch, Scikit-learn, SQL Years of experience required: 4 – 7 yrs Education qualification: B.tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills PyTorch, Structured Query Language (SQL), Tensorflow Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 04th August 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

As a Senior Manager of Technical Program Management at Capital One India, you will be part of the Machine Learning Experience (MLX) team, a group dedicated to implementing responsible ML models and features across the company. Your role will involve collaborating with various teams including product, engineering, and data scientists to create roadmaps, define milestones, and build scalable ML products and platforms. You will be responsible for driving innovation, presenting to executive stakeholders, and ensuring the successful delivery of enterprise-level initiatives. The ideal candidate for this role will possess a strong technical background in building scalable platforms and products, along with exceptional communication and collaboration skills. You should have a quantitative approach to problem-solving, the ability to simplify complex technical concepts, and a focus on execution and results. Emotional intelligence, empathy, and the ability to lead a program team are also key attributes for success in this role. In terms of qualifications, a Bachelor's degree is required, along with at least 5 years of experience managing technical programs and designing data-intensive solutions. Experience with machine learning, cloud infrastructure, and major ML frameworks such as XGBoost and PyTorch is highly desirable. Additionally, familiarity with Agile delivery, building distributed systems, and working within a highly regulated environment are preferred qualifications. If you meet these qualifications and are looking to join a dynamic team at Capital One India, we encourage you to apply for the Senior Manager - Technical Program Management position. Please note that Capital One is an equal opportunity employer committed to non-discrimination and promotes a drug-free workplace. If you require any accommodations during the application process, please contact Capital One Recruiting for assistance.,

You will work as a Machine Learning Ops Engineer at Netsmart, contributing to the design, implementation, and maintenance of ML pipelines for model training, validation, and deployment. Your role involves automating model deployment processes using CI/CD pipelines and containerization technologies. You will be responsible for monitoring model performance, data drift, and system health in production environments, collaborating with data scientists to operationalize machine learning models and algorithms. Additionally, you will implement version control for models, datasets, and ML experiments using MLOps tools, optimize ML infrastructure for scalability, reliability, and cost-effectiveness, and troubleshoot and resolve issues related to model deployment and production systems. It will be part of your responsibility to maintain documentation for ML workflows, deployment processes, and system architecture. This position may require availability outside of standard business hours as part of a rotational on-call schedule. To qualify for this role, you must hold a Bachelor's degree in computer science, Information Management, or a related field. You are expected to have 2-4 years of experience in software development, DevOps, or data engineering. Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, or Scikit-learn is required. Experience with containerization (Docker) and orchestration tools (Kubernetes), cloud platforms like AWS, Azure, GCP, and their ML services, as well as knowledge of CI/CD pipelines, version control (Git), and infrastructure as code are essential. Moreover, familiarity with monitoring tools, logging frameworks for production systems, data pipeline tools like Apache Airflow, Kubeflow, or similar, strong problem-solving skills, and the ability to work in fast-paced, collaborative environments are expected. Preferred skills include experience with MLOps platforms like MLflow, Weights & Biases, Neptune, knowledge of streaming data processing (e.g., Kafka, Kinesis), familiarity with infrastructure monitoring tools such as Prometheus, Grafana, understanding of model interpretability and explainability techniques, experience with feature stores and data versioning tools, and certification in cloud platforms like AWS ML, Azure AI, GCP ML. At Netsmart, you will be part of an inclusive environment that prioritizes your growth, offering professional development opportunities, competitive compensation packages, and comprehensive benefits. Netsmart is an Equal Opportunity Employer.,

You will be responsible for building and deploying scalable LLM-based systems using technologies such as OpenAI, Claude, LLaMA, or Mistral for contract understanding and legal automation. Additionally, you will design and implement Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases like FAISS, Pinecone, and Weaviate. Your role will involve fine-tuning and evaluating foundation models for domain-specific tasks such as clause extraction, dispute classification, and document QA. Furthermore, you will be expected to create recommendation models that offer suggestions for similar legal cases, past dispute patterns, or clause templates through collaborative and content-based filtering. Developing inference-ready APIs and backend microservices using FastAPI/Flask and integrating them into production workflows will also be part of your responsibilities. You will need to optimize model latency, prompt engineering, caching strategies, and accuracy using A/B testing and hallucination checks. Collaboration with Data Engineers and QA team members to convert ML prototypes into production-ready pipelines will be essential. Continuous error analysis, evaluation metric design (F1, BLEU, Recall@K), and prompt iterations will also fall under your purview. Participation in model versioning, logging, and reproducibility tracking using tools like MLflow or LangSmith is expected. Additionally, staying up-to-date with research on GenAI, prompting techniques, LLM compression, and RAG design patterns will be crucial. Qualifications: - Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field. - 2+ years of experience in applied ML/NLP projects with real-world deployments. - Experience with LLMs like GPT, Claude, Gemini, Mistral, and techniques like fine-tuning, few-shot prompting, and context window optimization. - Strong knowledge of Python, PyTorch, Transformers, LangChain, and embedding models. - Hands-on experience integrating vector stores and building RAG pipelines. - Understanding of NLP techniques such as summarization, token classification, document ranking, and conversational QA. - Bonus: Experience with Neo4j, recommendation systems, or graph embeddings.,

Role Overview We are seeking a highly analytical and detail-oriented Data Analysis Engineer to lead the development of our Recommendation Engine . This role is central to building intelligent, personalized suggestions that help users navigate lifestyle and health decisions. You will work at the intersection of data science, software engineering, and product development, leveraging multi-source data—metabolic, behavioral, and contextual—to craft meaningful and evidence-based user experiences. Key Responsibilities Architect and develop a robust, scalable recommendation system using structured and unstructured data. Design data pipelines and models to collect, process, and analyse behavioural, demographic, and physiological inputs. Apply machine learning and statistical techniques to predict user preferences and outcomes. Work closely with data engineers, product managers, and medical advisors to refine personalisation logic. Continuously evaluate and tune algorithms for accuracy, diversity, and user satisfaction. Design and monitor performance metrics (CTR, precision/recall, RMSE, etc.) to assess and improve model quality. Translate business questions into data queries and actionable insights. Document model assumptions, architecture, and validation rigorously to meet audit and compliance standards. Required Qualifications Bachelor’s or Master’s in Computer Science, Statistics, Data Science, or related field. 3–6 years of hands-on experience building data products, ideally involving recommendation engines or personalisation systems. Strong programming skills in Python or Scala, with proficiency in libraries like Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Proven ability to build and deploy models using ML frameworks and MLOps tools. Deep understanding of algorithms such as collaborative filtering, matrix factorization, embeddings, and content-based filtering. Exposure to real-time data ingestion systems like Kafka, Spark Streaming, or Flink is a plus. Preferred Skills Prior experience in healthtech, wellness, or behavioral analytics domains. Knowledge of A/B testing, causal inference, or reinforcement learning. Experience with AWS, GCP, or Azure cloud platforms. Comfort working with multi-disciplinary teams and translating complex data into user-friendly insights. Why Join Us? Be part of a mission-driven company transforming preventive healthcare through intelligent personalization. Work with real-world data to improve lives, not just metrics.