800 Neural Networks Jobs - Page 5

Key Responsibilities:Develop and optimize generative AI models using state-of-the-art architectures such as transformers, GANs, VAEs, or diffusion models.Fine-tune pre-trained large language models and multimodal models for specific business use cases.Design scalable and efficient AI pipelines for training, inference, and deployment in production environments.Collaborate with cross-functional teams including data scientists, ML engineers, product managers, and software developers to integrate generative AI capabilities into products.Implement techniques for prompt engineering, data augmentation, and model evaluation.Stay up to date with the latest research and advancements in generative AI and apply them to real-world problems.Troubleshoot model performance issues and improve accuracy, reliability, and latency.Write clean, maintainable code and contribute to AI/ML infrastructure and tooling.

We are looking for a highly skilled AI & ML Engineer with 3 to 5 years of experience to join our team at Stanra Tech Solutions. The ideal candidate will have a strong background in artificial intelligence and machine learning, with excellent problem-solving skills. Roles and Responsibility Design and develop AI and ML models to solve complex problems. Collaborate with cross-functional teams to integrate AI and ML solutions into existing systems. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest trends and technologies in AI and ML. Work closely with stakeholders to understand business requirements and develop tailored solutions. Ensure high-quality code and adhere to best practices. Job Requirements Strong proficiency in programming languages such as Python, Java, or C++. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of computer vision, natural language processing, or reinforcement learning. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and meet deadlines.

Developing Image Processing/Computer Vision Applications to be deployed in Vision Inspection. More specifically: Write OpenCV applications in C++ for dimensional and surface inspection. Train DL models for surface inspection in cases where traditional OpenCV / C++ is not viable. Additional Responsibilities: Developing and optimizing OpenCV applications for embedded devices (raspberry PI). Assist in developing DL models for the inhouse DL cloud platform. Educational Qualification B. E/ B. Tech in Any Specialization. Skills Python. C++. OpenCV. Linux. PyTorch/TensorFlow. Who can apply Are available for the full time employment with one year contract. Can start immediately. Have relevant skills and interests. Perks: Certificate. Letter of recommendation. Job offer. Group Health Insurance. Incentives and Bonus as per HR policy.

such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Join crossfunctional teams to design, develop, deploy, and finetune generative AI systems , including LLMs, retrievalaugmented generation (RAG), and AI agents Build and maintain scalable, secure backend services commonly using Python and frameworks such as FastAPI

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

About Loadshare: LoadShare is one of India’s most innovative and resilient logistics platforms, transforming how goods move across the country. Founded in 2017, we’ve grown to become a pan-India, multi-category last-mile network with a unique presence in both Tier 1 metros and deep Tier 2/3 towns. What sets us apart: • Scale with depth: We handle ~400K deliveries/day across food, e-commerce (B2C), B2B retail, and digital commerce, powered by a 20,000+ rider network. • Strong financials, stronger ambition: With 430 Cr in FY25 revenue and support from global investors (Tiger Global, Matrix, BII, Stellaris, BeeNext), we have a long runway and a path to profitability • Dual-engine model : We not only operate India’s most flexible last-mile delivery network, but also license our in-house logistics tech platform that processes an additional 20 lac orders/day — one of the few in India to enable asset cross-utilization across verticals • Strategic partner to India’s digital economy: We work with every major digital commerce player (ecomm, quick commerce, food, mobility) , and are expanding wallet share and capabilities within existing giants while co-creating new models with emerging platforms and brands. • Built to scale profitably : We’re not chasing GMV at all costs. We’re building the most capital-efficient, tech-enabled logistics engine in the country. We’re now building for our next phase: a 5X scale-up over the next 5 years, anchored in sharper client focus, deeper solutions, and new growth engines. Founders/ Founding team: Raghu Talluri (CEO) - Formerly at Myntra, McKinsey Pramod Nair (CTO) - Formerly at Freecharge, Snapdeal, MartMobi Rakib Ahmed (Co Founder, Head EComm/ Trucking/Warehousing) - Formerly at ICICI Prudential, Co founder Lunate Eco Overall 500+ employees on roll The Role: Where Business Meets Data Science We’re looking for a Senior Data Scientist to join our Hyperlocal Business Unit —the fastest growing part of LoadShare. This isn’t your typical ML role. You'll be at the intersection of real-time rider allocation, business margins, customer experience, and fair pay to gig workers. You'll have full ownership and freedom to rethink how orders get assigned, how riders move, and how we balance profitability with empathy and excellence. Your mission, should you choose to accept: Make our allocation engine smarter and faster, using data science, machine learning, and a bit of madness. Every 0.1% improvement you drive scales across lacs of deliveries and thousands of riders. Roles and Responsibilities What You’ll Work On Rider Allocation Engine: Improve how we assign orders to riders using ML, optimization, and predictive modeling to improve margins, reduce wait times, and increase batchability. Rider Earnings vs. Business Margins: Build models that find the sweet spot between paying riders fairly and hitting profitability goals—without compromising on customer experience. Demand-Supply Matching: Create algorithms to anticipate demand, shape rider shifts across space and time, and reduce delivery failures in hotspots and dark zones. CX & SLA Optimization: Use historical data to predict SLA risks and proactively re-route or re-assign in real-time. Experimentation & Impact: Design A/B tests to validate everything you ship. What you build, you own. Scale ML in Production: Work with engineering to ship robust, real-time data science solutions that touch live operations daily. Why This Role is Cool Real-World Impact: Your models will affect lacs of orders and thousands of livelihoods every single day. Freedom to Experiment : You get a playground with real data, full support from leadership, and space to try bold ideas. Full Stack Data Science: From ideation to shipping models to influencing business decisions, you’ll do it all. Tech + Ops Fusion: See your work directly improve operations, rider morale, and customer happiness—in days, not quarters. Incredible Team: Work with some of the sharpest minds in logistics, ops, and engineering. Quick Commerce Revolution: You get to be in the foreground of the QC revolution, shaping how 3Ps help solve the stress. What We’re Looking For 4+ years of experience in Data Science/ML/OR solving complex real-world problems Strong in Python, SQL, and ML frameworks. Good grounding in optimization, statistics, experimentation, and business sense Curious mind, strong communication skills, and a bias for action. Bonus Points If You Have Worked on last-mile logistics, food delivery, or hyperlocal services Built real-time systems or worked closely with engineering on model deployment Experience with geospatial data, ETA models, or dynamic pricing Passion for making tech more inclusive for gig workers and emerging markets Ready to Redefine Hyperlocal Logistics? Join us. Help build a system that delivers millions of packages, changes thousands of lives, and sets the gold standard for modern intracity logistics—using data.

Hands-on experience of deployment of models on Snowflake, and writing stored procedures for the same, OR Hands-on experience with Cortex AI and its frameworks. Experience in doing indexing, parsing, & Document AI within Cortex. Required Candidate profile Experience in Snowflake data platform and infrastructure Snow-park should be known, Data Science theoretical or DS Candidates should be only from Tamil Nadu

Technical Expertise: Must Have: o Experience in Emma orchestration engine is a must o Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). o Hands-on experience with Azure open AI and related tools and services. o Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment. Experience: 7 + years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Key Responsibilities: Design, develop, and implement complex Generative AI solutions with high accuracy and for complex use cases. Utilize agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Leverage Azure OpenAI ecosystems and tooling, including training models, advanced prompting, Assistant API, and agent curation. Write efficient, clean, and maintainable Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Fine-tune and optimize AI models for business use cases. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Programming Language - Python - Flask Programming Language - Python - Django Data Science and Machine Learning - Data Science and Machine Learning - Python Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Data Science and Machine Learning - Data Science and Machine Learning - Azure ML Beh - Communication and collaboration

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

As a Senior AI/ML Engineer, you will be responsible for designing, developing, and deploying advanced AI models with a focus on generative AI, including transformer architectures such as GPT, BERT, T5, and other deep learning models utilized for text, image, or multimodal generation. You will work with extensive and complex datasets by cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Additionally, you will collaborate with cross-functional teams to identify project objectives and create solutions using generative AI tailored to business needs. Your role will involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. You will also be responsible for developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. It is essential to stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Furthermore, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders with an emphasis on explainability and responsible AI practices. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI would be advantageous. You should have 12-16 years of experience in machine learning, with at least 8 years in designing and implementing generative AI models or working specifically with transformer-based models. The ideal candidate will possess expertise in generative AI, transformer models, GANs, VAEs, text generation, and image generation. Strong knowledge of machine learning algorithms, deep learning, neural networks, and programming skills in Python and SQL are required. Familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow, and experience with MLOps tools like Docker, Kubernetes, MLflow, and Cloud Platforms (AWS, GCP, Azure) is essential. Additionally, proficiency in data engineering concepts such as data preprocessing, feature engineering, and data cleaning is preferred. Joining our team will provide you with an opportunity to work on technical challenges with global impact, vast opportunities for self-development through online university access and sponsored certifications, sponsored Tech Talks & Hackathons, and a generous benefits package including health insurance, retirement benefits, flexible work hours, and more. You will work in a supportive environment with forums to explore passions beyond work, offering an exciting opportunity to contribute to cutting-edge solutions while advancing your career in a dynamic and collaborative setting.,

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. As an ML Engineer at ClearTrail, you will be responsible for developing an end-to-end machine learning pipeline, encompassing model development, refinement, and implementation for various analytics problems. Your role will involve effectively communicating results to a diverse range of technical and non-technical audiences. Additionally, you will leverage your expertise in LLM to tackle problems using cutting-edge language models and off-the-shelf LLM services such as OpenAI models. Your responsibilities will also include staying updated with the latest advancements in AI, problem-solving, code debugging, and practical experience in working with large language and generative AI models, including transformers and GPT models. Qualifications for this role include a Bachelor's degree in computer science & engineering, along with 6-10 years of proven experience as a Machine Learning Engineer or similar role with LLM skill set. You should possess sound theoretical and practical knowledge of machine learning algorithms and hands-on experience with LLM applications. Proficiency in Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries is essential, along with expertise in techniques such as Exploratory Data Analysis, Machine Learning, Neural Networks, Hyperparameter tuning, Model performance metrics, and Model Deployment. Practical knowledge of LLM and its finetuning is also a mandatory requirement. While not mandatory, it would be advantageous to have skills in Deep Learning, MLOps, and SQL. By joining ClearTrail, you will have the opportunity to contribute to the future of intelligence gathering and play a vital role in developing innovative solutions to address complex challenges in the realm of security and safety.,

The Staff ML Scientist position at Visa offers a unique opportunity to engage in cutting-edge Applied AI research within the realm of data analytics. As a key member of the team, you will play a pivotal role in driving Visa's strategic vision as a leading data-driven company. Your responsibilities will involve formulating complex business problems into technical data challenges, collaborating closely with product stakeholders to ensure the practicality of solutions, and delivering impactful prototypes and production code. You will have the chance to experiment with various datasets, both in-house and third-party, to evaluate their relevance to business objectives. Moreover, your role will encompass building data transformations for structured and unstructured data, exploring and refining modeling and scoring algorithms, and implementing methods for adaptive learning and model validation. Your expertise in automation and predictive analytics will be instrumental in enhancing operational efficiency and performance monitoring. In addition to your technical skills, you will be expected to possess a strong academic background and exceptional software engineering capabilities. A proactive and detail-oriented approach, coupled with excellent collaboration skills, will be essential for success in this role. This is a hybrid position, allowing for a flexible work arrangement that combines remote work and office presence. The expectation is to work from the office 2-3 set days per week, with a general guideline of being in the office at least 50% of the time based on business requirements. Qualifications: - 8 or more years of work experience with a Bachelors Degree or an Advanced Degree - Proficiency in modeling techniques such as logistic regression, Nave Bayes, SVM, decision trees, or neural networks - Ability to program in scripting languages like Perl or Python, and programming languages such as Java, C++, or C# - Familiarity with statistical tools like SAS, R, KNIME, and experience with deep learning frameworks like TensorFlow - Knowledge of Natural Language Processing and working with large datasets using tools such as Hadoop, MapReduce, Pig, or Hive - Publications or presentations in recognized Machine Learning and Data Mining journals/conferences would be advantageous Join Visa as a Staff ML Scientist and contribute to pioneering advancements in Applied AI research that drive innovation and shape the future of data analytics.,

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

At ClearTrail, our work is not merely a job, but a calling to create solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With a legacy spanning over 21 years, law enforcement and federal agencies worldwide have placed their trust in ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based lawful interception and communication analytics solutions, aimed at addressing the most complex global challenges. We are currently seeking a ML Engineer with 2-4 years of experience, possessing expertise in machine learning (ML) and Large Language Models (LLM) skill set to join our team in Indore, Madhya Pradesh. Roles and Responsibilities: - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varied audience with technical and non-technical backgrounds. - Utilize LLM expertise to tackle challenges using cutting-edge language models and off-the-shelf LLM services such as OpenAI models, focusing on techniques like Retrieval augmented generation to enhance the performance and capabilities of LLMs. - Stay abreast of the latest advancements in the field of Artificial Intelligence through continuous research and innovation. - Demonstrate strong problem-solving skills and proficiency in code debugging. - Hands-on experience in working with large language and generative AI models, both proprietary and open-source, including transformers and GPT models (preferred). Skills: - Mandatory hands-on experience with Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries. - Proficiency in Exploratory Data Analysis, Machine Learning, Neural Networks, hyperparameter tuning, model performance metrics, and model deployment. - Practical knowledge of Large Language Models (LLM) and fine-tuning techniques. Nice to have experience: - Deep Learning - MLOps - SQL Qualifications: - Bachelor's degree in Computer Science & Engineering. - Proven 2-4 years of experience as a Machine Learning Engineer or similar role, with a strong LLM skill set. - Solid theoretical and practical understanding of machine learning algorithms and hands-on experience with LLM applications.,

You will be joining KPMG in India, a professional services firm affiliated with KPMG International Limited since its establishment in August 1993. Leveraging a global network of firms, we provide services to national and international clients across various sectors with offices in multiple cities across India. As part of the Financial Crimes specialist team, your role will involve providing solutions to BFSI clients through model validation testing for AML risk models and frameworks, sanctions screening, and transaction monitoring systems. We are seeking individuals with advanced data science and analytics skills to support our team in addressing the challenges associated with financial crime. Your responsibilities will include but are not limited to supporting functional SME teams in building data-driven Financial Crimes solutions, conducting statistical testing of screening matching algorithms and risk rating models, validating data models of AML systems, and developing AML models to detect suspicious activities and transactions. You will collaborate with cross-functional teams to analyze data for model development and validation, prepare detailed documentation and reports, and assist in feature engineering for automation of AML-related investigations. To qualify for this role, you should have a Bachelor's degree from an accredited university, at least 3 years of hands-on experience in Python with knowledge of frameworks like Java, Fast, Django, Tornado, or Flask, experience with Relational and NoSQL databases, proficiency in BI tools such as Power BI and Tableau, and an educational background in Data Science and Statistics. Additionally, expertise in machine learning algorithms, statistical analysis, and familiarity with regulatory guidelines for AML compliance are essential. Preferred qualifications include experience in AML model validation, statistical testing of risk models, and familiarity with AML technology platforms. Hands-on experience with data analytics tools like Informatica and Kafka is also desirable. If you are looking to contribute your advanced analytics skills to combat financial crime and support leading financial institutions in adhering to industry best practices, this role offers you the opportunity to work on challenging projects and develop professionally in a dynamic environment.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

As a Senior AI/ML Developer at HealthOrbitAI, you will play a crucial role in revolutionizing healthcare delivery through the integration of advanced AI technology. Your primary responsibility will be to develop, implement, and optimize machine learning models that enhance revenue generation for hospitals and healthcare managers. By automating administrative tasks and complex billing processes, you will enable doctors to focus on providing quality patient care. Your daily tasks will involve working with neural networks, pattern recognition, and natural language processing to solve complex healthcare problems. You will collaborate closely with the software development team to apply advanced AI techniques effectively. To excel in this role, you must possess strong skills in pattern recognition and neural networks, along with a solid foundation in Computer Science and Software Development. Expertise in Natural Language Processing (NLP), proficiency in machine learning algorithms and frameworks, as well as strong analytical and problem-solving abilities are essential. Previous experience in AI applications within the healthcare industry would be advantageous. If you have a Bachelor's or Master's degree in Computer Science, AI/ML, or a related field, and are passionate about leveraging AI to address the core challenges of cost, access, and quality in healthcare, we encourage you to join our team at HealthOrbitAI in Mohali district for this full-time on-site position.,

Role & responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others 2+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data and computation of statistics Experience in using and operating Big Data processing pipelines, such as: Hadoop and Spark Good verbal and written communication and collaboration skills

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally

Design Solutions and implement generative AI models and algorithms, utilizing state-of-the-art techniques such as GPT, VAE, and GANs Should be able to architect products/solutions using various cloud services from Azure, GCP and AWS Work on integrating the cloud GenAI algorithms like ChatGPT, Bedrock, Bard, PaLM etc. Prompt Engineering for GenAI algorithm Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services Optimize existing generative AI models for improved performance, scalability, and efficiency Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation Drive the team to build GenAI products/Solution Should have experience working in Agile methodology.

AI Ops Engineer2 Job TitleAI Ops EngineerExperience35 yearsAbout the RoleWe are seeking a hands-on and proactive AI Ops Engineer to operationalize andsupport the deployment of large language model (LLM) workflows, including agentic AIapplications, across Marvells enterprise ecosystem.This role requires strong prompt engineering capabilities, the ability to triage AI pipelineissues, and a deep understanding of how LLM-based agents interact with tools,memory, and APIs. You will be expected to diagnose and remediate real-time problems,from prompt quality issues to model behavior anomalies. Key ResponsibilitiesDesign, fine-tune, and manage prompts for various LLM use cases tailored to Marvellsenterprise operations.Operate, monitor, and troubleshoot agentic AI applications, including identifying whetherissues stem from:Prompt quality or structureModel configuration or performanceTool usage, API failures, or memory/recall issuesBuild diagnostics and playbooks to triage LLM-driven failures, including handling fallbackstrategies, retries, or re-routing to human workflows.Collaborate with architects, ML engineers, and DevOps to optimize agent orchestrationacross platforms like LangGraph, CrewAI, AutoGen, or similar.Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, orConfluence using REST APIs, webhooks, and adapters.Implement observability and logging best practices for model outputs, latency, and agentperformance metrics.Contribute to building self-healing mechanisms and alerting strategies for production-gradeAI workflows.Required Qualifications 36 years of experience in software engineering, DevOps, or ML Ops with exposure toAI/LLM workflows.Strong foundation in prompt engineering and experience with LLMs like GPT, Claude,LLaMA, etc.Practical understanding of AIOps platforms or operational AI use cases (incident triage,log summarization, root cause analysis, etc.).Exposure to agentic AI architectures, such as LangGraph, AutoGen, CrewAI, etc.Familiarity with scripting (Python), RESTful APIs, and basic system debugging.Strong analytical skills and the ability to trace issues across multi-step pipelines andasynchronous agents. Good-To-HaveGleanDevRevCodiumCursorAtlassian AIDatabricks Mosaic AI

Role & responsibilities Responsibilities: Design, develop, and deploy scalable AI/ML models to support business goals. Collaborate with data scientists, engineers, and product teams to integrate AI capabilities into applications. Analyze large datasets to extract insights and improve model performance. Optimize algorithms for efficiency and accuracy. Maintain and improve existing AI systems and workflows. Lead technical discussions, code reviews, and mentor junior team members. Stay updated with the latest AI research and technologies and propose innovative ideas. Ensure code quality, testing, and documentation standards. Preferred candidate profile Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field. 2+ years of experience in AI/ML development. Proficient in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms and model deployment. Strong understanding of algorithms, statistics, and data structures. Experience with NLP, computer vision, or other AI domains is a plus. Excellent problem-solving and communication skills.

Work on the ML side of product portfolio, in collaboration with project and product managers: automate and optimize data pipelines, improve models used in production to be more accurate or more efficient, etc. Use and develop machine learning and deep learning algorithms to solve applied problems in Computer Vision discipline.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Job Description : Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.