Join MSBC as an AI ML Engineer – Build AI-Powered Solutions At MSBC, we develop cutting-edge AI solutions that drive real-world impact. As a Junior AI Engineer, you will work on Computer Vision and Natural Language Processing (NLP) projects, supporting our AI team in developing and fine-tuning models. This role is perfect for those who have worked on AI projects—whether through college, hackathons, or personal research—and are eager to expand their expertise in a collaborative environment. Key Tools and Frameworks Deep Learning Frameworks: PyTorch, TensorFlow NLP & CV Libraries: Hugging Face, OpenCV, Transformers Languages: Python (FastAPI/Flask) Version Control: Git Key Responsibilities Assist in building and improving AI models for Computer Vision and NLP applications . Work with deep learning frameworks (PyTorch, TensorFlow) to implement, train, and evaluate models. Explore pre-trained models and fine-tuning techniques to enhance AI performance (bonus if you have prior experience). Collaborate with the AI team to process datasets and optimize model efficiency. Write clean, well-documented code and contribute to AI research discussions. Stay updated with the latest AI advancements and experiment with new techniques. Required Skills and Qualifications 1 year of experience in AI/ML (college projects, hackathons, or research count). Familiarity with Computer Vision or NLP techniques and relevant libraries ( Hugging Face, OpenCV, etc. ). Experience with deep learning frameworks (PyTorch, TensorFlow) . Strong programming skills in Python . Enthusiasm for AI and a willingness to learn and experiment . Good problem-solving and analytical skills. Nice to Have but not Mandatory: Experience with fine-tuning models Experience with Frontend Development frameworks like React and Next JS. Experience in authoring and implementing academic papers. MSBC Group has been a trusted technology partner for over 20 years, delivering innovative AI solutions across various industries. As a Junior AI Engineer, you will work on real AI applications, collaborate with experienced professionals, and gain hands-on experience in AI model development. Join us and start your journey towards building the future of AI with MSBC! Show more Show less

Job Title: Lead Data Scientist – NLP & Computer Vision Location: India (Remote, with monthly travel to Indore and occasional travel to the UK) Employment Type: Permanent, Full-time Required Skills & Experience: 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. About the Role: We’re seeking an ambitious and highly capable Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Computer Vision (OpenCV) to take a leading role in our AI journey. This is a hands-on technical role with strategic scope — ideal for someone who thrives in building robust solutions, mentoring others, and wants to grow into a Head of Data Science position. You’ll be responsible for delivering high-impact AI projects across diverse data domains (text, image, and structured data), while also setting technical direction, guiding junior colleagues, and helping shape our data science capability across the organisation. Excellent communication — both written and spoken — will be critical, as you’ll work closely with technical and non-technical stakeholders in India and internationally. Key Responsibilities: Design, build, and deploy production-ready NLP and computer vision models to solve real-world problems. Lead by example with hands-on development, research, and experimentation using cutting-edge ML/DL techniques. Guide and mentor a small team of junior/mid-level data scientists and actively contribute to their growth. Collaborate with cross-functional teams (Engineering, Product, Business) across geographies. Apply advanced NLP techniques (e.g. classification, summarisation, entity extraction, semantic search) using tools like spaCy, HuggingFace Transformers, BERT, GPT, etc. Solve computer vision challenges (e.g. object detection, image classification, feature extraction) using OpenCV, PyTorch, TensorFlow, etc. Drive quality and performance tuning, experimentation frameworks, and model lifecycle practices. Contribute to defining a strategic roadmap for data science and AI within the business. Work with cloud platforms (Azure, AWS) for model training, deployment, and monitoring. Occasionally travel to Indore (monthly) and to the UK (as needed) for collaborative sessions and leadership meetings. Required Skills & Experience: 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. Strong Python skills, including use of Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience deploying ML models in cloud environments (Azure, AWS, or similar). Solid grounding in machine learning fundamentals and deep learning architectures. Proven ability to solve end-to-end ML problems — from exploration to deployment and monitoring. Experience mentoring junior team members or leading technical efforts. Excellent spoken and written English communication skills – able to clearly convey complex ideas to both technical and business audiences. Collaborative mindset, with the ability to engage confidently across distributed teams and international stakeholders. Show more Show less

Job Description Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. About us: Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality. Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last. About the role: We are currently seeking a Machine Learning (Ops) - Engineer , to join our Digi team based in Noida. Key Responsibilities: ML Pipeline Development and Automation: Design, build, and maintain end-to-end AI/ML CI/CD pipelines using Azure DevOps and leveraging Azure AI Stack (e.g., Azure ML, AI Foundry …) and Dataiku Model Deployment and Monitoring: Deliver tooling to deploy AI/ML products into production, ensuring they meet performance, reliability, and security standards. Implement and maintain a transversal monitoring solutions to track model performance, detect drift, and trigger retraining when necessary Collaboration and Support: Work closely with data scientists, AI/ML engineers, and platform team to ensure seamless integration of products into production. Provide technical support and troubleshooting for AI/ML pipelines and infrastructure, particularly in Azure and Dataiku environments Operational Excellence : Define and implement MLOps best practices with a strong focus on governance, security, and quality, while monitoring performance metrics and cost-efficiency to ensure continuous improvement and delivering optimized, high-quality deployments for Azure AI services and Dataiku Documentation and Reporting: Maintain comprehensive documentation of AI/ML pipelines, and processes, with a focus on Azure AI and Dataiku implementations. Provide regular updates to the AI Platform Lead on system status, risks, and resource needs About you: Proven track record of experience in MLOps, DevOps, or related roles Strong knowledge of machine learning workflows, data analytics, and Azure cloud Hands-on experience with tools and technologies such as Dataiku, Azure ML, Azure AI Services, Docker, Kubernetes, and Terraform Proficiency in programming languages such as Python, with experience in ML and automation libraries (e.g., TensorFlow, PyTorch, Azure AI SDK …) Expertise in CI/CD pipeline management and automation tools using Azure DevOps Familiarity with monitoring tools and logging frameworks Catch this opportunity and invest in your skills development, should your profile meet these requirements. Additional attributes: A proactive mindset with a focus on operationalizing AI/ML solutions to drive business value Experience with budget oversight and cost optimization in cloud environments. Knowledge of agile methodologies and software development lifecycle (SDLC). Strong problem-solving skills and attention to detail Work Experience: 3-5 years of experience in MLOps Minimum Education: Advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Engineering, or a related field. What’s next? Once receiving your application, our Talent Acquisition professionals will screen and match your profile against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. We invite you to get to know more about our company by visiting and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates. Show more Show less

Job Description We are seeking a skilled and experienced Platform Engineer/Architect to lead the setup, advancement and maintenance of a robust on-premise environment for hosting open-source large language models. This role involves designing and implementing scalable, secure, and efficient infrastructure solutions that cater to the specific needs of large-scale AI models. How You Will Contribute And What You Will Learn Design and architect a scalable and secure on-premise hosting environment for large language models. Develop and implement infrastructure automation tools for efficient management and deployment. Ensure high availability and disaster recovery capabilities. Optimize the hosting environment for maximum performance and efficiency. Implement monitoring tools to track system performance and resource utilization. Regularly update the infrastructure to incorporate the latest technological advancements. Establish robust security protocols to protect sensitive data and model integrity. Ensure compliance with data protection regulations and industry standards. Conduct regular security audits and vulnerability assessments. Work closely with AI/ML teams to understand their requirements and provide suitable infrastructure solutions. Provide technical guidance and support to internal teams and stakeholders. Stay abreast of emerging trends in AI infrastructure and large language model hosting. Manage physical and virtual resources to ensure optimal allocation and utilization. Forecast resource needs and plan for future expansion and upgrades Key Skills And Experience Bachelor's or Master's degree in Computer Science, Information Technology, or a related field with 7-12 years of experience. Proven experience in infrastructure architecture, with exposure to AI/ML environments. Experience with inferencing frameworks like TGI, TEI, Lorax, S-Lora etc. Experience with training frameworks like PyTorch, TensorFlow etc. Proven experience with On-premises OSS models – Llama3, Mistral etc. Strong knowledge of networking, storage, and computing technologies. Experience of working with container orchestration tools (e.g., Kubernetes - Redhat OS). Proficient programming skills in Python Familiarity with open-source large language models and their hosting requirements. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. About The Team Strategy and Technology lays the path for Nokia’s future technology innovation and identifies the most promising areas for Nokia to create new value. We set the company’s strategy and technology vision, offer an unparalleled research foundation for innovation, and provide critical support infrastructure for Nokia. Show more Show less

We are seeking a highly skilled and motivated Lead Data Scientist to drive AI/ML initiatives and lead a dynamic team. The ideal candidate should have a strong foundation in machine learning, deep learning, and AI technologies, along with hands-on experience in solving complex business problems through data-driven approaches. About the Role We are seeking a highly skilled and motivated Lead Data Scientist to drive AI/ML initiatives and lead a dynamic team. The ideal candidate should have a strong foundation in machine learning, deep learning, and AI technologies, along with hands-on experience in solving complex business problems through data-driven approaches. Responsibilities Lead and mentor a team of data scientists, ensuring effective project execution. Develop and implement advanced AI/ML models to optimize business processes. Analyze large datasets to uncover meaningful insights and drive strategic decisions. Collaborate with cross-functional teams to integrate AI solutions into business operations. Stay ahead of industry trends, emerging technologies, and best practices in AI/ML. Ensure scalable, efficient, and high-performance AI systems. Communicate technical findings to non-technical stakeholders effectively. Qualifications Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field. 3+ years of experience in AI/ML, predictive modeling, and data analytics. Expertise in Python, R, TensorFlow, PyTorch, and other ML frameworks. Strong knowledge of deep learning, NLP, and computer vision. Experience in cloud platforms such as AWS, Azure, or GCP. Proven ability to lead and deliver AI/ML-driven projects successfully. Preferred Skills Experience working with big data technologies (Hadoop, Spark, etc.). Familiarity with MLOps and deploying ML models in production. Strong problem-solving, analytical, and communication skills. Show more Show less

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 1118 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: 8+ years of experience in IT Industry Strong on programming languages like Python One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: Strong on programming languages like Python, Java One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

In This Role You Will Be Responsible For Developing, testing, and implementing Python backend service which essentially interacts with ML models. This involves developing solutions to solve complex problems in collaboration with Business and AI team members. Ensure adherence to data privacy and security standards, safeguarding sensitive customer and business information while maintaining compliance with relevant regulations. Demonstrate the ability to work independently and take ownership of tasks, while also supporting team members, ensuring timely high-quality delivery. To be successful in this role, you should meet the following requirements: Minimum experience of 3 years development using Python programming language Proven experience of working with advance coding in Python Must have experience using Pandas and NumPy Familiarity with some of the key Python libraries would be an added advantage, e.g. TensorFlow, LangChain, PyTorch, Plotly, Dash, Scikit learn High degree of understanding on Natural Language Processing (NLP) techniques, Time-Series and Prediction Models would be helpful Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Systems Engineering General Summary 2-4 years of experiences in image processing/computer vision/camera domain. Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow, Keras etc.) Strong hands on experience on developing object detection, tracking or face detection algorithms. Strong background in image and signal processing, statistics, and data analysis. Developing machine learning algorithms for advanced imaging features Strong programming skills and working experience in C/C++\ assembly programming skills, multithreading and RTOS/OS concepts\fundamentals and Python. Strong debugging skills to debug complex system level issues. Collaborate with cross-functional teams to design, implement and debug camera\multimedia features for mobiles. Good analytical and problem-solving skills. Responsibilities Development and productize camera essential features on Qualcomm chipsets for mobile Influence camera HW architecture in Qualcomm chipsets Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Customer interaction to commercialize Qualcomm camera solutions. Individual contributions and working with cross functional teams on camera essential features design/planning/execution/commercialization for future Snapdragon chipsets Education Requirements Required: Bachelor's/Master’s/PHd Computer Engineering and/or Electrical / Electronic Engineering Preferred : Masters Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3074885 Show more Show less

Job Description Senior Manager, ML Engineering The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview As an ML Engineer in the Generative AI (GenAI) space, you will play a pivotal role in the development and deployment of GenAI Solutions. You will work with Large Language Models (LLMs) to solve business problems by prompting, agent creation, and other GenAI methods. Working closely with data scientists, you will build and optimize scalable models for various applications along with leverage MLOps tooling to provide continuous evaluation and improvements. Proficient in programming languages like Python and skilled in software engineering, you will bridge the gap between theoretical research and practical implementation, contributing significantly to technological advancements. What Will You Do In This Role Design, code, verify, test, document, amend and refactor moderately complex programs/scripts. Apply agreed standards and tools to achieve a well-engineered result. Identify issues related to software development activities. Propose practical solutions to resolve issues. Design system components using appropriate modeling techniques following agreed architectures, design standards, patterns, and methodology. Identify and evaluate alternative design options and trade-offs. Create multiple design views to address the concerns of the different stakeholders and to handle functional and non-functional requirements. Produce detailed design specifications to form the basis for the construction of systems. Review, verify, and improve own designs against specifications. Produce software builds from software source code for loading onto target hardware. Configure the hardware and software environment as required by the system being integrated. Produce integration test specifications, conduct tests and record and report on outcomes. Perform basic risk assessments for small information systems. Contribute to the identification of risks that arise from potential technical solution architectures. Suggest alternate solutions or countermeasures to mitigate risks. Design test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting test outcomes. Elicit requirements for systems and software life cycle working practices and automation. Prepare design options for the working environment of methods, procedures, techniques, tools, and people. Undertake complete design of moderately complex software applications or components. Specify user and/or system interfaces. Assist as part of a team in the design of components of larger software systems. Participate in Agile ceremonies with the team to execute on prioritized projects and features. What Should You Have Bachelors’ degree in Information Technology, Computer Science or any Technology stream. 7+ years of experience in programming skills in Python. Knowledge of JavaScript/Typescript, C++ is a plus. Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, and NumPy). Experience with data preprocessing, feature engineering, and model selection. Knowledge of data structures, software engineering principles, and ML Ops. Deep understanding of machine learning algorithms and principles. Experience with Natural Language Processing (NLP) and Generative AI. Experience with cloud platforms (e.g., AWS, Azure, GCP). Strong analytical and problem-solving abilities. Effective communication and interpersonal skills to liaise with cross-functional teams. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Data Engineering, Design Applications, Information Security, Machine Learning, Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Testing Preferred Skills Job Posting End Date 07/4/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R337369 Show more Show less

Role & responsibilities Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions. Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration. Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance. Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance. Work with cross-functional teams, including developers, data scientists, machine learning engineers, and business stakeholders, to understand requirements and design solutions that align with business objectives. Preferred candidate profile Bachelors degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. More than 3 years of experience in designing and implementing AI/ML architectures, with a proven track record of successful projects. Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools. Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing. Experience with Microsoft Azure cloud services and their AI/ML offerings Experience with event-handling systems such as Kafka Experience with big data technologies and data engineering practices. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Job Description Are you passionate about data science with a comprehensive understanding of analytical principles, tools, technologies, and the capability to convey insights to both executive and non-technical audiences? If so, this could be the ideal opportunity for you. As an Analytics Solutions Analyst on the Instrumentation & Metrics (I&M) team, you are in integral part of the team that will be responsible for leveraging your expertise in data science to develop and maintain production grade models using various analytical techniques. You will provide ad-hoc analytics support to the Payments organization, transforming complex data into actionable insights. Additionally, you will guide the team on best practices and techniques in data science, ensuring the effective use of data to drive business decisions. Job Responsibilities Develop complex analytical models that provide a comprehensive view of the business by integrating data from multiple sources. Utilize advanced SQL, Alteryx, Tableau, and Python programming skills, along with expertise in multivariate statistics, quantitative modeling, and advanced analytical methods (e.g., supervised/unsupervised machine learning, time-series predictions, NLP, etc.). Conduct data discovery and analytics to extract insights that enhance existing financial products and support decision-making processes. Collaborate with product managers, data architects, software engineers, and business analysts to build a company-centric analytics product in a production environment. Demonstrate excellent understanding of business strategy and data science opportunities. Communicate complex data challenges and solutions to diverse audiences across various levels of the banking organization, including those unfamiliar with advanced machine learning techniques. Required Qualifications, Capabilities And Skills Bachelor’s or Master’s degree in statistics, mathematics, data science, or a related technical or quantitative field, with 3+ years of applied experience. Strong understanding of agile methodologies, statistics, and AI/ML engineering, with a proven track record of developing and deploying business-critical machine learning models in production. Proficiency in programming languages such as Python, and experience with machine learning frameworks, libraries, and APIs, including TensorFlow, PyTorch, Scikit-learn, etc. Ability to identify and address AI/ML challenges, implement optimizations, and fine-tune models for optimal performance. Basic knowledge of data system components to determine necessary controls. Excellent written and verbal communication skills to effectively convey technical concepts and results to both technical and business audiences. Preferred Qualifications, Capabilities And Skills Familiarity with the financial services industry. Background in NLP and advanced analytics. Knowledge of financial products and services, including trading, investment, and risk management. Experience working with databricks/snowflake. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

Assist in utilizing AI tools for models to analyze fashion trends, customer preferences, and design patterns. Work with design software, including AI-driven fashion design platforms, to assist in creating clothing collections based on data-driven insights. Support the development and training of AI models to generate fashion design concepts, patterns, and color palettes. Research and test new AI technologies and tools in the fashion design field. Help create AI-generated prototypes and assist in the design and adjustment process for physical samples. Analyze data from AI models and report findings to the design team for further development. Assist in maintaining the company’s design archives and AI-generated model databases. Stay updated on AI trends and fashion technology innovations. Requirements Completed a degree in Fashion Design or a related field. Basic knowledge or interest in the intersection of fashion design and artificial intelligence. Familiarity with fashion design software (e.g., Adobe Illustrator, CLO 3D, or similar) and AI tools (e.g., TensorFlow, PyTorch, or design-specific AI platforms). Strong problem-solving skills and an analytical mindset. Creative and open-minded with a passion for fashion and innovation. Ability to work collaboratively with both design and technology teams. A portfolio demonstrating design work or any AI-related projects (preferably fashion-related) is a plus. Job Type: Full-time Pay: ₹10,000.00 per month Schedule: Day shift Ability to commute/relocate: Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Experience Required 2 to 4 years of experience in AI/ML model development, deployment, and optimization. Hands-on experience in building machine learning pipelines and working with large datasets Domain Experience (Functional) Experience in domains such as natural language processing (NLP), computer vision, predictive analytics, or recommendation systems. Exposure to industry-specific AI applications (e.g., healthcare, finance, retail, manufacturing) is a plus. Qualification Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field Roles & Responsibilities Design, develop, and deploy machine learning and deep learning models. Collaborate with data engineers and domain experts to collect, clean, and preprocess data. Conduct experiments, evaluate model performance, and iterate for improvement. Integrate AI models into production systems and monitor their performance. Stay updated with the latest research and advancements in AI/ML. Document model development processes and contribute to knowledge sharing. Technical Skills Proficient in Python and core ML libraries: TensorFlow, PyTorch, Scikit-learn. Strong with Pandas, NumPy for data handling. Solid grasp of ML algorithms, statistics, and model evaluation. Familiar with cloud platforms (AWS/Azure/GCP). Experience with Git and basic CI/CD for model deployment

About Gruve Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. Position Summary We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology. Key Responsibilities Design and implement software solutions that power machine learning models, particularly in LLMs Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility Design and implement a scale infrastructure for developing and deploying GenAI solutions Support model deployment and API integration to ensure interaction with existing enterprise systems. Basic Qualifications A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field Experience: 3-5 Years Strong programming skills in Python and Java Good understanding of machine learning fundamentals Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) Familiar with frontend development and frameworks like React Basic knowledge of LLMs and transformer-based architectures is a plus. Preferred Qualifications Excellent problem-solving skills and an eagerness to learn in a fast-paced environment Strong attention to detail and ability to communicate technical concepts clearly ‍ Why Gruve At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted. Show more Show less

About the Role A Senior Machine Learning Engineer is an accomplished expert in designing and deploying advanced machine learning solutions. They possess deep expertise in algorithms, programming languages like Python, and specialized frameworks. This role involves leading complex machine-learning projects, making critical architectural decisions, optimizing performance models, and collaborating with interdisciplinary teams. Senior Machine Learning Engineers contribute to cutting-edge research, develop innovative solutions, and stay at the forefront of the field to deliver impactful and state-of-the-art machine learning applications. Responsibilities Designing and programming machine learning methods and integrating them into our ML framework/pipeline. Evaluating and validating the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science. Provide mentorship and guidance to junior machine learning engineers, to review and improve their code, ensuring adherence to coding standards, performance optimization, and maintainability. Helping junior team members enhance their technical skills and overall professional development. Stay up-to-date with the latest advancements and trends in machine learning, deep learning, and related fields. Conduct research and explore new technologies, frameworks, and tools to improve our machine-learning models and processes. Collaboratively design and implement machine learning systems and infrastructure, leveraging your experience to make informed decisions and drive successful outcomes. Requirements B.E.\B. Tech\M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image, and signal processing, or statistics preferred. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 3+ years of professional work experience working on real-world data. Strong programming background, and knowledge of software engineering concepts (OOP, design patterns). Knowledge of machine learning libraries TensorFlow, Jax, Keras, Scikit-learn, PyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, advanced probability concepts, linear algebra. Ability to perform both independent and collaborative research. Excellent written and spoken communication skills. A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems is a big plus. Show more Show less

🚀 We’re Hiring: Electronics & Communication Engineers Focus: RF Data Analytics · Radar Signal Processing · Electronic Warfare | Experience: 1 – 5 yrs | Age Limit: ≤ 30 yrs Why join Crimson? Work on next-generation radar and EW programs that safeguard critical national assets. Turn terabytes of raw I/Q captures into real-time intelligence alongside cross-functional experts. Ship your code from lab prototype to live field deployment and see immediate impact. What you’ll do Acquire – Automate high-throughput downloads, cataloguing and integrity checks of multi-gigabyte RF datasets. Clean & Sanitize – Write Python/Matlab routines for noise filtering, interference rejection and metadata standardisation. Transform – Build DSP modules to demodulate, resample and convert raw I/Q streams into emitter-level feature vectors. Ingest – Design robust ETL workflows into local and shared SQL/NoSQL databases with geospatial indexing. Analyse – Produce geospatial heat-maps, time-frequency plots and anomaly alerts that drive mission decisions. Present – Craft dashboards and concise reports that translate complex RF metrics into clear operational insight. Maintain – Handle routine calibration of RF front-ends, firmware upgrades and Linux/GPU server upkeep. Must-have qualifications Degree: M.Tech / ME / B.Tech / BE / M.Sc. in ECE, Telecom, Signal Processing, Radar Tech, Defence Electronics, or MCA with strong tech focus. Experience: 1 – 5 yrs hands-on with electronics, communications or signal-processing systems. Core knowledge: Electronic Support Measures (ESM), radar theory, communication waveforms, RF chain components. Tools: Matlab (or equivalent), Python (NumPy, SciPy, Pandas, PyTorch/SciKit-DSP-Comm), Git, Docker, Linux. Data skills: Building ETL pipelines, designing database schemas and basic DevOps practices. Nice-to-have superpowers GNU Radio and SDRs (USRP, HackRF) or Keysight/NI test equipment. REST API development with FastAPI or Flask. Geospatial tooling (GDAL, PostGIS, QGIS, ArcGIS). Familiarity with MIL-STD metadata formats (ST 0601/0603, ASTERIX) and radar messaging. Defence-sector clearance eligibility and a passion for national-security tech. What we offer Mission impact: Direct contribution to nationally strategic programmes with tangible outcomes. Growth runway: Sponsored certifications (DSP, EW, cloud), conference travel and mentoring from senior defence scientists. Cutting-edge lab: Petabyte-scale RF archive, GPU clusters and dedicated SDR testbeds. Competitive package: Market-aligned salary, performance bonus, medical & accident insurance, 30 days paid leave. How to apply Prepare your CV (PDF) and a one-page cover letter describing an RF or large-scale data-pipeline project you’ve handled. Deadline: 11 June 2025 (rolling reviews — apply early for priority). Show more Show less

Job Profile* *Role:* AI Developer *Location:* Delhi *Experience:* 6-10 Years *Qualifications:* 1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 2. Proven experience of 6-10 years as an AI Developer or similar role. 3. Proficient in coding and ability to develop and implement AI models and algorithms from scratch. 4. Strong knowledge of AI frameworks and libraries. 5. Proficiency in data manipulation and analysis methods. 6. Excellent problem-solving abilities and attention to detail. 7. Good communication and teamwork skills. *Responsibilities:* 1. Implement AI solutions that seamlessly integrate with existing business systems to enhance functionality and user interaction. 2. Manage the data flow and infrastructure for the effective functioning of the AI Department. 3. Design, develop, and implement AI models and algorithms from scratch. 4. Collaborate with the IT team to ensure the successful deployment of AI models. 5. Continuously research and implement new AI technologies to improve existing systems. 6. Maintain up-to-date knowledge of AI and machine learning trends and advancements. 7. Provide technical guidance and support to the team as needed. *Coding Knowledge Required:* 1. Proficiency in programming languages like Python, Java, R, etc. 2. Experience with machine learning frameworks like TensorFlow or PyTorch. 3. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. 4. Familiarity with databases, both SQL and NoSQL. 5. Understanding of data structures, data modeling, and software architecture. 6. Experience with distributed data/computing tools like Hadoop, Hive, Spark, etc. Job Type: Full-time Pay: ₹14,214.66 - ₹66,535.00 per month Schedule: Day shift Work Location: In person

We are seeking an experienced Gen AI and LLM Developer to design, develop, and deploy generative AI models and large language models (LLMs) for advanced natural language processing (NLP) tasks. The ideal candidate will have 6-9 years of experience with LLM architectures (e.g., GPT, BERT), deep learning frameworks (PyTorch, TensorFlow), and cloud platforms (AWS, GCP, Azure). Responsibilities include training and fine-tuning models, optimizing for performance, collaborating with cross-functional teams, and staying updated on the latest AI trends. Strong technical skills in Python, NLP techniques, model optimization, and distributed training are essential.Experience designing scalable system with Generative AI" and "Exposure to full stack development on .net or Java based platform

Job Title: MLOps Architect Experience: 10+ Years Location: Remote Type-Contractual About the Role: We are seeking experienced MLOps Engineers to join our growing team of AI/ML professionals. The ideal candidate will have deep experience in machine learning deployment pipelines , infrastructure automation , and monitoring , with a passion for building scalable and reliable systems. This is a remote full-time opportunity with a competitive compensation package. Key Responsibilities: Design, develop, and maintain robust CI/CD pipelines for deploying machine learning models into production. Package and deploy models built with TensorFlow or PyTorch using Azure ML , AWS SageMaker , or GCP Vertex AI . Automate containerization using Docker , and manage deployment using Kubernetes (preferred). Collaborate with data scientists and engineers to streamline model training, evaluation, and deployment workflows. Implement monitoring and alerting systems using tools such as Prometheus , Grafana , and Azure Monitor . Ensure system reliability, availability, and performance optimization across environments. Maintain and manage version control using Git and CI/CD pipelines using GitLab CI/CD or equivalent. Work in a Linux environment, writing scripts to automate deployment, logging, and maintenance tasks. Required Skills: Strong hands-on experience with Docker , CI/CD pipelines , and Linux-based deployments . Experience with cloud platforms: Azure ML (preferred), AWS , or GCP . Proficiency in Python scripting and automation. Familiarity with ML model deployment pipelines and infrastructure as code. Experience with monitoring tools like Grafana , Prometheus , and Cloud-native logging/alerting systems . Working knowledge of Kubernetes (preferred). Ideal Candidate Profile: 6+ years of experience in MLOps, DevOps , or related backend infrastructure roles. Proven experience in deploying TensorFlow/PyTorch models in production environments using Azure ML and GitLab CI/CD . Demonstrated expertise in monitoring , alerting , and performance tuning of ML systems. Strong problem-solving, communication, and documentation skills. Show more Show less

We're seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework – Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless: Experience with Azure Function Apps or AWS Lamba functions Cloud: Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? NICE provides state-of-the-art enterprise level AI and analytics for all forms of business communications between speech and digital. We are a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction. If you have interacted with a major contact center in the last decade, it is very likely we have processed your call. The research group partners with all areas of NICE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs. How will you make an impact? Conduct cutting-edge research and develop advanced NLP algorithms and models. Build and fine-tune deep learning and machine learning models, with a focus on large language models. Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders. Develop and maintain scripts/tools to automate both new model production and updates to existing model packages. Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base. Collaborate with developers to design automation and tool improvements for model building. Maintain documentation of processes and projects across all supported languages and environments. Have you got what it takes? Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 4-7 years of data science work experience, including implementing machine learning and NLP models using real-life data. Strong research skills, with a proven track record of developing and implementing advanced machine learning algorithms. Advanced knowledge of supervised and unsupervised machine learning algorithms. Excellent proficiency in Python programming. Experience with deep learning models and libraries such as PyTorch, TensorFlow, Hands-on experience with transformer models and Gen AI frameworks (HuggingFace, AWS Bedrock, Azure Foundry ). Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Experience deploying models in production environments, ensuring scalability and performance using AWS/GCP/Azure Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge. Experience with Retrieval-Augmented Generation (RAG) pipelines Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience working on international, globe-spanning teams. Past participation in a formal research setting. Experience as part of a software organization What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID : 7294 Reporting into : Tech Manager Role Type : Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

About the job A little about us... LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across 35 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more info, please visit www.ltimindtree.com Job Details- We are having a weekend drive for the requirement of a Data Scientist at our Bangalore office. Date - 14th June Experience - 4 to 12 Yrs. Location – LTIMindtree Office Bangalore Whitefield Notice Period - Immediate to 60 Days only Mandatory Skills- Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD : More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen. Show more Show less

Job Summary: We are seeking a skilled and innovative Data Scientist to join our team. The ideal candidate will have hands-on experience in AI/ML model development , Big Data processing , and working with cloud platforms like AWS . You will be responsible for analyzing large-scale datasets, developing machine learning models, and delivering actionable insights to drive business decisions. Key Responsibilities: Design, develop, and deploy machine learning and AI models to solve complex business problems. Work with large datasets using Big Data technologies (Hadoop, Spark, etc.). Build scalable data pipelines and workflows using Python, SQL, and cloud-native tools. Implement data preprocessing, feature engineering, and model tuning techniques. Use AWS services (e.g., S3, SageMaker, Lambda, EMR) for data processing, model training, and deployment. Collaborate with data engineers, analysts, and business stakeholders to define requirements and deliver solutions. Communicate findings clearly through dashboards, reports, or presentations. Required Skills: Strong programming skills in Python and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with Big Data frameworks such as Spark , Hadoop , or Hive . Hands-on experience with AWS cloud services related to data science and ML. Solid understanding of machine learning algorithms, model evaluation, and tuning. Show more Show less