6817 Tensorflow Jobs - Page 20

AI/ML Engineer – Junior Location: Pune, Maharashtra Experience: 1–2 years ‍Employment: Full-time Role Overview: Join our AI/ML team to build and deploy generative and traditional ML models—from ideation and data preparation to production pipelines and performance optimization. You’ll solve real problems, handle data end-to-end, navigate the AI development lifecycle, and contribute to both model innovation and operational excellence. Key Responsibilities: ● Full AI/ML Lifecycle: Engage from problem scoping through data collection, modeling, deployment, monitoring, and iteration. ● Generative & ML Models: Build and fine-tune transformer-based LLMs (like GPT, BERT) both commercial as well as local, GANs, diffusion models; also develop traditional ML models for classification, regression, etc. Experience with DL models for Computer vision like CNN, R-CNN, etc is a plus. ● Data Engineering: Clean, label, preprocess, augment, and version datasets. Build ETL pipelines and features for model training. Experience with libraries like pandas, numpy, nltk, etc. ● Model Deployment & MLOps: Containerize models (Docker), deploy APIs/microservices, implement CI/CD for ML, monitor performance and drift . ● Troubleshooting & Optimization: Analyze errors, handle overfitting/underfitting, hallucinations, class imbalance, latency concerns; tune model performance. ● Collaboration: Partner with project managers, DevOps, backend engineers, and senior ML staff to integrate AI features. ● Innovation & Research: Stay current with GenAI (prompt techniques, RAG, LangChain, LLM models), test new architectures, contribute insights. ● Documentation: Maintain reproducible experiments, write clear docs, follow best practices Required Skills: ● Bachelor’s in CS, AI, Data Science, or related field. ● 1–2 years in ML/AI roles; hands-on with both generative and traditional models. ● Proficient in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn). ● Strong understanding of AI project lifecycle and MLOps principles . ● Experience in data workflows: preprocessing, feature engineering, dataset management. ● Familiarity with Docker, REST APIs, Git, and cloud platforms (AWS/GCP/Azure). ● Sharp analytical and problem-solving skills, with ability to debug and iterate models. ● Excellent communication and teamwork abilities. Preferred Skills: ● Projects involving ChatGPT, LLaMA, Stable Diffusion or similar models. ● Experience with prompt engineering, RAG pipelines, vector DBs (FAISS, Pinecone, Weaviate) . ● Exposure to CI/CD pipelines and ML metadata/versioning. ● GitHub portfolio or publications in generative AI. ● Awareness of ethics, bias mitigation, privacy, compliance in AI. Job Type: Full-time Pay: ₹200,000.00 - ₹500,000.00 per year Benefits: Provident Fund Work Location: Hybrid remote in Pune, Maharashtra

Job Description At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our business while mentoring others and fostering a culture of collaboration and growth. As the sparring partner for your product owners and your Chapter lead, your job is to shape the technical roadmap and contribute to the implementation of best practices both in the product team (“Pod”) you work in and the global Chapter of ML Engineers. You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. What you will do Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. Research and Development: Effective RAG architectures and technologies for organizing complex domain-specific data (e.g. vector databases, knowledge graphs) and effective knowledge extraction Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency. Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization. Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts. Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes. Define and own the ML-Ops for your Pod. Experimentation and Continuous Improvement: Develop experiments for model evaluation and improvement, keeping the solutions aligned with evolving industry standards. Best Practices: Establish scalable coding standards and best practices for maintainable and production-ready systems. Team Support: Mentor ML engineers to foster their personal growth. Qualifications How you will succeed in your role We’re looking for someone who is excited to make an impact and grow with us. While not everyone will have all the qualifications listed, you might be a great fit if you bring some of the following. We’re working with every team member individually to grow according to their needs and abilities. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum 5 years of experience implementing machine learning projects. At least 2 years in a senior or lead role. Demonstrated expertise integrating modern LLMs into production systems. Leadership skills: Proven leadership in driving technical projects to successful completion in agile environments Strong communication skills to align technical solutions with business goals. Ability to mentor and foster innovation within the team. Technology Skills: LLM and RAG Expertise: Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. Transformer and LLM Architectures: In-depth experience with modern Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral) Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (e.g. Docker, Kubernetes) and workflow management tools (e.g. Azure ML Studio, MLFlow) Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Intelligence: Document Processing and knowledge extraction tools Databases: Experience with relational (SQL), NoSQL databases Data Platforms: Familiarity with platforms like Snowflake or Databricks Additional Information What defines us : Curiosity, Optimism, Ambition, Empathy Our team at Ramboll Tech is currently on a steep growth trajectory while maintaining a strong team culture. We are curious about other people and their motivations; about new business models and technologies; about each other and the future. We are optimistic, focusing on solutions rather than problems; we plan for success and are willing to take calculated risks instead of playing it safe. We are ambitious, setting our own standards higher than others’ expectations, and we celebrate each other's successes. We are empathetic, taking ourselves, others, and each other seriously without prejudgment, and we help each other and our clients, colleagues, and the world. How we work as a team Our team culture is crucial to us; that's why we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another. We value diversity, and although we're not perfect, we regularly engage in open discussions about how we can improve in this area. Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for teams and individuals, with as much autonomy as possible. We also meet up in person regularly, such as twice a year at our offsite or during team dinners. Who is Ramboll? Ramboll is a global architecture, engineering, and consultancy firm. We believe sustainable change's aim is to create a livable world where people thrive in healthy nature. Our strength is our employees, and our history is rooted in a clear vision of how a responsible company should act. Openness and curiosity are cornerstones of our corporate culture, fostering an inclusive mindset that seeks new, diverse, and innovative perspectives. We respect and welcome all forms of diversity and focus on creating an inclusive environment where everyone can thrive and reach their full potential. And what does Ramboll Tech do? Ramboll Tech accelerates innovation and digital transformation for the entire Ramboll group and directs all AI-related initiatives within the company. This includes collaborating with markets at Ramboll on their AI projects, as well as working on larger change processes within the corporation and developing proprietary AI products for Ramboll and our clients. Our team currently has over 300 employees from Denmark, Germany, the USA, and India. We are looking to quickly expand in key areas across Europe and the globe. Equality, Diversity, and Inclusion Equality, diversity, and inclusion are at the heart of what we do. At Ramboll, we believe that diversity is a strength and that different experiences and perspectives are essential to creating truly sustainable societies. We are committed to providing an inclusive and supportive work environment where everyone is able to flourish and reach their potential. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We invite applications from candidates of all backgrounds and characteristics. Please let us know if there are any changes, we could make to the application process to make it more comfortable for you. You can contact us at job.advert.accessibility@ramboll.com with such requests. Important information We do require a cover letter together with your current CV (preferably without a photo) through our application tool, and we're eager to get to know you better in a conversation. Do you have any questions? Feel free to contact the hiring team through our recruitment tool.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking a highly skilled and passionate Senior Solution Architect – Generative AI to join our team and lead the design and implementation of cutting-edge AI solutions. This role is ideal for a seasoned professional with extensive experience in AI/ML development and architecture, a deep understanding of generative AI technologies, and a strategic mindset to align innovations with business requirements. Responsibilities Develop and oversee architectural designs for generative AI models, frameworks, and solutions tailored to business needs Design scalable pipelines for integrating and deploying generative AI solutions in alignment with enterprise architecture Perform in-depth research to stay current on advancements in generative AI, including GPT, DALL-E, and Stable Diffusion to evaluate their applicability Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and actionable implementation plans Lead the end-to-end development, testing, and deployment of generative AI systems, acting as a technical guide for teams Advocate for the adoption of best practices, tools, and frameworks to enhance enterprise AI capabilities Create APIs and services to integrate generative AI tools within business workflows or customer-facing platforms Work closely with data engineers and scientists to ensure high-quality data preprocessing for AI model training Implement responsible AI protocols to address governance, ethical usage, and regulatory compliance Identify and mitigate data biases, ensuring data privacy and security concerns are addressed Act as a mentor for junior AI developers and other cross-functional team members in understanding generative AI technologies Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success Benchmark emerging generative AI tools like OpenAI models, Hugging Face, and custom-built frameworks for potential integration and improvements Conduct periodic evaluations of deployed AI systems, recommending adjustments and enhancements for improved operational efficiency Requirements 15-23 years of overall IT experience with at least 5+ years of proven experience in AI/ML development or architecture roles Background in designing and implementing generative AI solutions, including areas like NLP, computer vision, or code generation Familiarity with foundational models such as GPT, BERT, and their customization for enterprise use cases Knowledge of AI/ML frameworks/tools such as TensorFlow, PyTorch, or Hugging Face models Skills in cloud platforms (AWS, Azure, Google Cloud) and container platforms like Docker or Kubernetes Proficiency in Python, R, or similar programming languages for building generative AI solutions Understanding of MLOps principles, pipeline orchestration tools (Kubeflow, Airflow), and CI/CD practices Expertise in responsible AI governance, ethical frameworks, and compliance with data privacy regulations Capability to collaborate with multidisciplinary teams to align AI strategies with organizational goals We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing. Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements. Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business. Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary Research focus on problem solving through NLP(Natural Language Processing) is critical. Clear application on performance testing and validation framework of machine learning models Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount Minimum Qualifications Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc. Ability to work in cross functional teams Excellent data wrangling and visualization skills Hands on knowledge of SQL is expected A research mindset with a zeal to experiment new algorithms is expected Preferred Qualifications: Master’s in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute. A set of high impact research papers on applied NLP/ Deep Learning/ GenAI Prior experience working with Transformers/LSTMs/CNNs preferred Working knowledge of finetuning Large Language Models(LLMs) is a plus Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred any of Tensorflow/Torch. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: Commvault does not conduct interviews by email or text. We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at www.recruitingteam@commvault.com. About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. Senior AI Engineer The Opportunity We have an outstanding career opportunity for a Senior AI Engineer in Bengaluru, Hyderabad, and Pune. As an AI Engineer, you will play a pivotal role in developing and implementing innovative AI solutions to enhance customer interactions, streamline processes, and drive overall business growth. We are an extra ordinary engineering team that thrives on innovative ideas! We believe in having a dynamic engineering process but at the same time believe that processes can evolve to enhance Developer efficiencies and capabilities. We take pride in our ability to complete complex projects while delivering exceptional results to our customers. It takes great people to build great software and that’s where you come in! We thrive upon collaboration and focus our efforts on maintaining a strong diverse workforce. We hire individuals from all different backgrounds and experiences and are passionate about equality and integrity. What you’ll do AI Model Development: Design, develop, and deploy advanced AI models, including machine learning algorithms, natural language processing, and computer vision, to address specific customer experience challenges. Data Analysis: Collect, clean, and analyze large datasets to identify patterns, trends, and insights that inform AI model development and optimization. Customer Experience Integration: Integrate AI solutions seamlessly into our existing customer experience systems and platforms, ensuring a cohesive and personalized customer journey. Algorithm Optimization: Continuously refine and improve AI models to enhance their accuracy, efficiency, and effectiveness in delivering exceptional customer experiences. Proof of Concept (POC) Development: Develop and test AI-powered prototypes and POCs to demonstrate the feasibility and value of proposed solutions. Collaboration: Work closely with cross-functional teams, including product managers, designers, and customer success representatives, to align AI initiatives with business objectives and customer needs. Stay Updated: Keep abreast of the latest advancements in AI technology and industry best practices to ensure our solutions remain cutting-edge. Who you are Bachelor's degree required. Strong programming skills in Python or other relevant programming languages. Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn. In-depth knowledge of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Experience with natural language processing (NLP) techniques, such as text classification, sentiment analysis, and language generation. Knowledge of cloud platforms (AWS, GCP, Azure) and their AI services. A passion for delivering exceptional customer experiences through innovative AI solutions. Knowledge of customer relationship management (CRM) systems and customer data platforms. Experience with AI-powered chatbots or virtual assistants. Knowledge of ethical AI practices and data privacy regulations. Security and SaaS experience strongly preferred. You’ll love working here because: Employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Annual health check-ups, Car lease Program, and Tuition Reimbursement An inclusive company culture, an opportunity to join our Community Guilds Personal accident cover and Term life cover Ready to #makeyourmark at Commvault? Apply now! Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Principal Data Scientist at Micron, you will Develop AI, LLM, ML and statistical based solutions to build state-of-the-art predictive, prescriptive , optimization and automation , pattern-mining solutions for silicon design verification and firmware validation Collaborate with cross-functional teams to ensure the accuracy, reliability, and performance of semiconductor products. Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate. Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements. Interact with senior leadership, and cross functional teams to define scope, identify risks, deploy scalable solutions & lead multiple projects execution Continuously learn as well as mentor team on recent progress on semiconductor and AI/ML domain. Key requirements: Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field. Experience: 12+ years in data science and machine learning. Experience in silicon verification or semiconductors in general is highly desirable. Technical Skills In-depth understanding statistics, classical ML algorithms, neural networks and in-depth understanding of algorithms and formulation behind LLM, RAG and agents. Hands on experience and solid understanding of data engineering and building deployment pipelines for solutions built. Be able to extract, process and clean data using known frameworks. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). Project Management Ability to scope projects, develop project plan and lead, execute, and deliver as per the plan. Ability to understand the customer pain point and find appropriate solutions to address the problem. Soft skills Strong passion and attitude to work in semiconductor industry delivering high value and high impact data science solutions. Attitude and temperament for team-work, mentoring, learning, ethics and professional communication. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. We are looking for a Senior Data Scientist to join our Detection Engineering team and lead the development of AI/ML models that enhance the efficiency and impact of Microsoft’s Security Operations Center (SOC). In this role, you will drive the design and optimization of scalable, data-driven solutions that transform massive security signal data into actionable intelligence. You’ll bring deep technical expertise to guide model architecture, platform integration, and best practices in security engineering, while collaborating closely with analysts, responders, and engineers to align on goals, scope, and strategy. Beyond technical leadership, you’ll continuously evolve our advanced detection frameworks to improve accuracy, reduce false positives, and stay ahead of emerging threats. You’ll mentor early-in-career engineers, foster a culture of learning and innovation, and contribute to a strong, inclusive team environment grounded in Microsoft’s values. If you’re passionate about applying data science to real-world security challenges and thrive in a fast-paced, mission-driven space, we’d love to hear from you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Develop and implement machine learning models and algorithms to detect security threats and attacks within Microsoft. Analyse large and complex datasets generated to identify patterns and anomalies indicative of security risks. Collaborate with security experts to understand threat landscapes and incorporate domain knowledge into models. Continuously monitor and improve the performance of security models to adapt to evolving threats. Lead the design and implementation of data-driven security solutions and tools. Mentor and guide junior data scientists in best practices and advanced techniques. Communicate findings and insights to stakeholders, including senior leadership and technical teams. Stay up to date with the latest advancements in data science, machine learning, and cybersecurity. Qualifications 8+ years of experience in Data Science, machine learning, natural language processing, and deep learning preferably with a focus on Cyber Security or related fields. Experience in programming languages such as Python, R, or Scala, with hands-on experience in data analysis, experimental design principles and visualization. Experience in translating complex data into actionable insights and recommendations that drive business impact. Excellent technical design skills and proven ability to drive large scale system designs for complex projects or products. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn and others). In-depth knowledge of cybersecurity principles, threats, and attack vectors. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing. Strong analytical and problem-solving skills with the ability to think creatively. Excellent communication skills with the ability to explain complex concepts stakeholders. Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or equivalent experience. Preferred Qualifications: Experience in developing and deploying machine learning models for Cyber security applications. Experience in Big Data preferably in the cybersecurity or SaaS industry. Experience with data science workloads with the Azure tech stack; Synapse, Azure ML, etc. Knowledge of anomaly detection, fraud detection, and other related areas. Familiarity with security fundamentals and attack vectors Publications or contributions to the field of data science or cybersecurity. Excellent track record of cross team collaboration. Ambitious, self-motivated. Agile, can-do attitude and great at dealing with ambiguity. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Providence Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services. Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US. Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale. Why Us? Best In-class Benefits Inclusive Leadership Reimagining Healthcare Competitive Pay Supportive Reporting Relation How is this team contributing to vision of Providence? Marketing Analytics team empowers Marketing and Digital Experience (MDeX) team with actionable, data-driven insights and measurement tools that drive impactful decisions, identify business opportunities, maximize performance, and create a competitive advantage. We achieve this by understanding our data and business/market context, partnering with MDeX to enhance the use of analytical tools, delivering timely and accurate reports and insights, and telling compelling stories about our patients, business, and experiences through advanced data storytelling, including visualization. What will you be responsible for? As a Principal Data Scientist, you will be responsible to develop effective and high-quality healthcare program integrity analytics that meet business requirements. In Addition, your responsibilities include: Collaborate with stakeholders to develop models that inform marketing strategies, audience targeting, and channel prioritization. Engage in product features for marketing technologies. Possess strong Strategic Thought Leadership, Innovative Mindset, Communication / Collaboration, Story-telling, Critical Thinking, Problem Solving skills. Experience working with Gen-AI, expertise in fine-tuning transformer-based models / LLMs- GPT, Llama, PaLM, BERT and RAG models. Fine-tuning of Large Language Models (GPT/ PaLM/ Llama) to meet specific business requirements. Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal Marketing Investments and decision making. Build and validate predictive models with advanced machine learning techniques and tools to drive business value, interpreting, and presenting modeling and analytical results to technical and business stakeholders. Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Strong Communicator, should be able to collaborate cross-functionally with the Strategy, Product and engineering teams to define priorities and influence the product roadmap Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts, and other intuitive graphical add-ons. Develop and implement machine learning models using a variety of techniques (supervised and unsupervised learning models including NLP, Deep learning Models, and Predictive Analytics) Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes. Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables. Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations. Understanding data storage and data sharing methods. Healthcare and marketing domain business knowledge will be a plus. Strong proficiency in: Python, PySpark, SQL, & have experience in machine learning libraries & frameworks such as TensorFlow, PyTorch, or Keras. Deep expertise in traditional as well as modern statistical & ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests, XGBoost, & other ensemble methods. Proficiency in developing NLP models using: Nltk, spacy, Genism , Word 2 Vec , Seq 2 seq , transformers , BERT etc. Prior hands-on experience in analysing large and complex data sets, data reliability analysis, quality controls and data processing, with focus on model validation practices. What would your week look like? Responsible for end-to-end ownership of data science use cases right from outlining the business problem, to exploring various solutions to solve the business problem, to building, deploying, and evaluating the solution to yield high business value and customer satisfaction. Who are we looking for? 14+ yrs. of professional work experience preferable in management consulting or high growth start-ups preferably in healthcare and 8-12+ years of experience in a data analytics and data science role. Bachelor's degree in mathematics, statistics, healthcare administration, or related field. Master's degree advantageous. 5+ years of experience in Python, AI & ML Designing, developing, and implementing AI/ generative AI models & algorithms to solve complex problems and drive innovation across organization. Lead all stages of AI/ML solutions implementation: Gathering business requirements & understanding, data requirements for the solution build, any constraints (data /business), data exploration/solution design, machine learning models development, active collaboration with model risk team to ensure high quality model deployment & minimize enterprise risk. Lead the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization. Collaborating with cross-functional teams to define project requirements and objectives, ensuring alignment with overall business goals for integration, sign-off and deploying machine learning models into production. Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Engage team members, project managers & business stakeholders in the analysis and interpretation of experimentation results & ensuring feedback is incorporated as appropriate into models. Drive best practices throughout development process and publish learnings/feedback for continuous learning. Lead/drive and accelerate innovations in discovery phase via insights, frameworks, causal inference solutions and machine learning prototypes via POCs. Refine standards and processes for AI solution development & implementation in close collaboration with data science leaders and team in the US. Ensure adherence to the industry / enterprise standards and best practices. Develop and institutionalize best practices and re-usable components, contribute to research and experimentation efforts. Lead, coach, support, and mentor data scientists in the team review their work as required, provide adequate guidance, feedback to help them achieve their goals and do right for Enterprise. Participate in talent acquisition activities to build strong talent pool of Data Scientists. Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct. Contact our Integrity hotline also, read our Code of Conduct.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking a highly skilled and passionate Senior Solution Architect – Generative AI to join our team and lead the design and implementation of cutting-edge AI solutions. This role is ideal for a seasoned professional with extensive experience in AI/ML development and architecture, a deep understanding of generative AI technologies, and a strategic mindset to align innovations with business requirements. Responsibilities Develop and oversee architectural designs for generative AI models, frameworks, and solutions tailored to business needs Design scalable pipelines for integrating and deploying generative AI solutions in alignment with enterprise architecture Perform in-depth research to stay current on advancements in generative AI, including GPT, DALL-E, and Stable Diffusion to evaluate their applicability Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and actionable implementation plans Lead the end-to-end development, testing, and deployment of generative AI systems, acting as a technical guide for teams Advocate for the adoption of best practices, tools, and frameworks to enhance enterprise AI capabilities Create APIs and services to integrate generative AI tools within business workflows or customer-facing platforms Work closely with data engineers and scientists to ensure high-quality data preprocessing for AI model training Implement responsible AI protocols to address governance, ethical usage, and regulatory compliance Identify and mitigate data biases, ensuring data privacy and security concerns are addressed Act as a mentor for junior AI developers and other cross-functional team members in understanding generative AI technologies Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success Benchmark emerging generative AI tools like OpenAI models, Hugging Face, and custom-built frameworks for potential integration and improvements Conduct periodic evaluations of deployed AI systems, recommending adjustments and enhancements for improved operational efficiency Requirements 15-23 years of overall IT experience with at least 5+ years of proven experience in AI/ML development or architecture roles Background in designing and implementing generative AI solutions, including areas like NLP, computer vision, or code generation Familiarity with foundational models such as GPT, BERT, and their customization for enterprise use cases Knowledge of AI/ML frameworks/tools such as TensorFlow, PyTorch, or Hugging Face models Skills in cloud platforms (AWS, Azure, Google Cloud) and container platforms like Docker or Kubernetes Proficiency in Python, R, or similar programming languages for building generative AI solutions Understanding of MLOps principles, pipeline orchestration tools (Kubeflow, Airflow), and CI/CD practices Expertise in responsible AI governance, ethical frameworks, and compliance with data privacy regulations Capability to collaborate with multidisciplinary teams to align AI strategies with organizational goals We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget Flexible and remote-friendly work culture

Job Title: Senior Data Scientist Location:Hyderabad/Bangalore Department: Advanced Analytics & AI Solutions About the Role We are seeking a highly skilled Senior Data Scientist to lead the end-to-end design, enhancement, and deployment of a machine learning solution that predicts the virality of press articles. This role is part of a high-impact digital media analytics project designed to support brand reputation management by forecasting which headlines are likely to gain rapid traction. The ideal candidate brings deep expertise in natural language processing (NLP), deep learning (especially transformer models like BERT), and hands-on experience with Azure AI services. You will drive the evolution of a proof-of-concept Python model into a scalable, production-grade Azure-based solution integrated with downstream generative AI interfaces. Key Responsibilities Lead the development and optimization of a BERT-based pairwise comparison model for predicting press article virality. Incorporate temporal dynamics into modeling strategy to enhance prediction accuracy over time. Design and implement scalable ML pipelines using Azure AI Hub, Foundry, Blob Storage, and Cosmos DB. Collaborate with architecture and platform teams to ensure smooth lift-and-shift deployment of the solution into client environments. Integrate outputs with Azure OpenAI (GPT-4o) to build conversational interfaces via Microsoft Copilot Studio or Power Apps. Evaluate model performance using robust metrics (accuracy, AUC-ROC, ranking correlation). Manage compute budgets (under $1,000/month) through cost-efficient compute planning and Azure monitoring tools. Work closely with stakeholders to translate business requirements into ML model specifications and insights delivery. Stay up-to-date with advances in NLP, ranking models, and Azure ML ecosystem. Required Skills & Experience 6–10 years of experience in Data Science or Machine Learning, with a strong focus on NLP or content-based recommendation systems. Deep proficiency in Python, with expertise in transformers, PyTorch/TensorFlow, Hugging Face, and data science libraries (pandas, scikit-learn). Hands-on experience with BERT, pairwise learning, and ranking models. Prior exposure to temporal modeling techniques (e.g., sliding windows, time-based feature engineering). Strong experience with the Azure ecosystem, including: Azure AI Hub and Foundry Azure Machine Learning Azure OpenAI Azure Cosmos DB and Blob Storage Azure Monitor and Application Insights Experience designing or integrating generative AI solutions (e.g., GPT-4, Claude, Gemini). Familiarity with CRISP-DM methodology or other structured data science lifecycles. Preferred Qualifications Experience working with media or digital marketing datasets (clickstream, headlines, user interactions). Knowledge of semantic search or vector databases. Understanding of Copilot/Chatbot development on Microsoft platforms. Experience managing data science projects with budget constraints and deployment pipelines. Published research or prototypes in NLP or content virality modeling is a strong plus. Certifications DP-203: Azure Data Engineer Associate AI-102: Azure AI Engineer Associate DP-600: Fabric Analytics Engineer Associate Hugging Face Transformers Certification TensorFlow Developer Certificate or PyTorch Fundamentals by Meta Google Cloud Certified Professional Data Engineer (if cross-cloud experience is relevant) Certified Specialist in NLP (e.g., DeepLearning.AI NLP Specialization on Coursera)

About the Team The Data Science team at Navi plays a central role in building intelligent solutions that power our products and drive business impact. We work across key domains such as Lending, Collections, KYC, UPI Growth and Ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc. to deliver end-to-end solutions. About the Role As a Data Scientist 3 at Navi, you’ll be an integral part of a team that’s building scalable and efficient solutions across lending, insurance, investments, and UPI. You won’t just be solving predefined problems - you’ll identify the problems and solve for getting high business impact. This role offers the opportunity to lead high-impact data science initiatives that directly influence strategic business decisions. It involves working at the intersection of advanced machine learning, large-scale data processing, and cross-functional collaboration, with a focus on building scalable solutions and fostering a culture of technical excellence and innovation within the team. What We Expect From You Strategic Project Leadership: Drive end-to-end delivery of high-impact data science initiatives, from conception and prototyping to large-scale deployment, ensuring alignment with business goals and measurable outcomes. Stakeholder Management & Cross-Functional Leadership: Proactively engage and influence stakeholders across Product, Engineering, Business, and Executive teams, shaping problem definitions and championing data-driven decision making. Technical Depth & Thought Leadership : Demonstrate deep expertise across machine learning and deep learning concepts, setting technical direction and solving highly complex, ambiguous problems. Advanced Data Solutions: Architect and deliver solutions across diverse data types—tabular, text, image, and speech—leveraging cutting-edge models and best practices to drive business value at scale. Innovation & Research: Lead experimentation with emerging algorithms and technologies, fostering a culture of innovation and staying ahead of industry trends, especially in the fintech domain. Robust Model Governance: Establish and uphold best practices for model validation, monitoring, performance tracking, and risk management in production environments, ensuring reliability and compliance. Mentorship & Team Development: Mentor and guide junior team members, facilitate technical reviews, and actively contribute to a culture of knowledge sharing, continuous learning, and technical excellence within the team. Must Haves Bachelor’s or higher degree in Computer Science, Electrical Engineering, or a quantitative field, with a demonstrated research mindset and 5+ years of relevant experience Deep understanding of modern machine learning techniques, underlying mathematics , and hands-on experience with key ML frameworks (such as scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.) Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies. Proven experience working with distributed computing platforms for large-scale data processing and model training Strong programming skills, preferably in Python , Scala, or similar languages Demonstrated ability to drive large-scale machine learning projects end to end—from problem formulation and data preparation to deployment and monitoring Proven track record of delivering high business impact through data science solutions in previous roles Experience leading projects with multiple team members and/or mentoring junior colleagues is preferred Inside Navi We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold — we’re building tech-first solutions that work at scale, with a strong customer-first approach. Founded by Sachin Bansal & Ankit Agarwal in 2018, we are one of India’s fastest-growing financial services organisations. But we’re just getting started! Our Culture The Navi DNA Ambition. Perseverance. Self-awareness. Ownership. Integrity. We’re looking for people who dream big when it comes to innovation. At Navi, you’ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you’re driven to deliver real value to customers, no matter the challenge, this is the place for you. We chase excellence by uplifting each other—and that starts with every one of us. Why You'll Thrive at Navi At Navi, it’s about how you think, build, and grow. You’ll thrive here if: You’re impact-driven : You take ownership, build boldly, and care about making a real difference. You strive for excellence : Good isn’t good enough. You bring focus, precision, and a passion for quality. You embrace change : You adapt quickly, move fast, and always put the customer first.

Job description least andand sci-kit-learnat leastand Experience: The ideal candidate should have a minimum of 3-4 years of professional experience working with Python, developing web applications and APIs. Proficiency in Python Frameworks: Strong knowledge and hands-on experience in Python frameworks such as Django, Flask, and FastAPI are essential. The candidate should be adept at building robust and scalable web applications. Basic AI Knowledge: Familiarity with the fundamentals of Artificial Intelligence and its application in Python would be highly beneficial. Experience with machine learning libraries like TensorFlow or scikit-learn is a plus. Database Skills: Basic understanding and experience working with databases (SQL and/or NoSQL) are required. Knowledge of ORMs (Object-Relational Mapping) like SQLAlchemy would be advantageous. Responsibilities for the Python Developer role:Responsibilities for the Python Developer role: - Collaborate with the development team to design, develop, and deploy high-quality Python-based applications. - Build and maintain efficient and reusable Python code. - Implement best practices for software development, including code reviews, automated testing, and documentation. - Work with databases and integrate them into applications, ensuring optimal performance and data integrity. - Research and apply AI concepts and techniques to enhance our products and services. Job Type: Full-time Benefits: Health insurance Education: Bachelor's (Preferred) Experience: Python: 1 year (Preferred) total work: 1 year (Preferred) Job Type: Full-time Pay: ₹8,086.00 - ₹25,000.00 per month Work Location: In person

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi.

Job Summary: We are looking for an enthusiastic and knowledgeable AI Trainer with 2 to 3 years of experience in training or working on AI/ML technologies. The ideal candidate should have a strong foundation in AI concepts, hands-on coding skills, and a passion for teaching. Key Responsibilities: Deliver training sessions on AI, Machine Learning, and Deep Learning topics (instructor-led online or in-person). Design, update, and maintain training materials, hands-on exercises, and real-world projects. Guide learners through assignments, projects, and assessments. Stay updated with the latest AI trends, tools, and technologies. Provide mentorship and technical support to learners. Assess learner progress and provide constructive feedback. Required Skills and Experience: 2 to 3 years of professional experience in AI/ML development or training roles. Proficient in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Solid understanding of Machine Learning algorithms, NLP, Computer Vision, and Deep Learning concepts. Experience in creating or delivering training content. Strong communication and presentation skills. Bachelor's or Master’s degree in Computer Science, Data Science, or related fields. Preferred Qualifications: Prior experience as a trainer or mentor in EdTech or corporate training. Knowledge of tools like Jupyter Notebook, Google Colab, or AWS/GCP ML tools. Certification in AI/ML (e.g., TensorFlow Developer Certificate, Google ML certification) is a plus Job Types: Full-time, Freelance Pay: ₹20,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person Application Deadline: 21/07/2025 Expected Start Date: 21/07/2025

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,000 worldwide employees. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ About HID Global, Chennai HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. For more information, visit www.hidglobal.com. HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Physical Access Control Solutions (PACS) HID's Physical Access Control Solutions Business Area: HID PAC’s Business Unit focuses on the growth of new clients and existing clients where we leverage the latest card and reader technologies to solve the security challenges of our clients. Other areas of focus will include authentication, card sub systems, card encoding, Biometrics, location services and all other aspects of a physical access control infrastructure. Qualifications:- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers. Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation : You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences. #LI-HIDGlobal

Job Information Date Opened 07/01/2025 Job Type Full time Industry Technology Work Experience 4-5 years City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600086 Job Description Responsibilities: Design, develop, and implement AI agents using state-of-the-art machine learning and natural language processing techniques. Collaborate with cross-functional teams to integrate AI agents into various applications and platforms. Conduct research to advance the capabilities of AI agents, including improving their conversational abilities, decision-making processes, and adaptability. Optimize and fine-tune AI models for performance, scalability, and efficiency. Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to enhance our products. Experience With Vertex AI Platform, Along with Conversational Agent, DialogFlow Understanding of Prompt Engineering, Agentic Framework, Google ADK, MCP, RAG Debug and troubleshoot issues related to AI agent performance and functionality. Document development processes, code, and research findings. Requirements Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing AI agents or similar applications Proven experience in GCP Landscape and Vertex AI. Strong programming skills in languages such as Python or Java.. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Knowledge of natural language processing (NLP) techniques and tools. Familiarity with reinforcement learning and other AI methodologies. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities.

Job Summary: We are looking for an enthusiastic and knowledgeable AI Trainer with 2 to 3 years of experience in training or working on AI/ML technologies. The ideal candidate should have a strong foundation in AI concepts, hands-on coding skills, and a passion for teaching. Key Responsibilities: Deliver training sessions on AI, Machine Learning, and Deep Learning topics (instructor-led online or in-person). Design, update, and maintain training materials, hands-on exercises, and real-world projects. Guide learners through assignments, projects, and assessments. Stay updated with the latest AI trends, tools, and technologies. Provide mentorship and technical support to learners. Assess learner progress and provide constructive feedback. Required Skills and Experience: 2 to 3 years of professional experience in AI/ML development or training roles. Proficient in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Solid understanding of Machine Learning algorithms, NLP, Computer Vision, and Deep Learning concepts. Experience in creating or delivering training content. Strong communication and presentation skills. Bachelor's or Master’s degree in Computer Science, Data Science, or related fields. Preferred Qualifications: Prior experience as a trainer or mentor in EdTech or corporate training. Knowledge of tools like Jupyter Notebook, Google Colab, or AWS/GCP ML tools. Certification in AI/ML (e.g., TensorFlow Developer Certificate, Google ML certification) is a plus Job Types: Full-time, Freelance Pay: ₹20,000.00 - ₹35,000.00 per month Work Location: In person Application Deadline: 21/07/2025 Expected Start Date: 20/07/2025

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and deployment strategies. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. - Strong programming skills in Python, RAG, Prompt Engineering, RAI, OpenAI APIs, Lang Chain, expert working knowledge on OpenAI / Gemini models, Agentic framework, Code Conversion experience for reverse and forward engineering Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required. 15 years full time education

Hosur Plant, Tamil Nadu, India Department R&D-EV Sys D&D-Digital Twin and HIL Job posted on Jul 08, 2025 Employee Type White Collar Experience range (Years) 6 years - 8 years About TVS Motor TVS Motor Company is a reputed two and three-wheeler manufacturer globally, championing progress through Sustainable Mobility with four state-of-the-art manufacturing facilities in Hosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacy of Trust, Value, and Passion for Customers and Exactness, we take pride in making internationally aspirational products of the highest quality through innovative and sustainable processes. We are the only two-wheeler company to have received the prestigious Deming Prize. Our products lead in their respective categories in the J.D. Power IQS and APEAL surveys. We have been ranked No. 1 Company in the J.D. Power Customer Service Satisfaction Survey for consecutive four years. Our group company Norton Motorcycles, based in the United Kingdom, is one of the most emotive motorcycle brands in the world. Our subsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG) and EGO Movement have a leading position in the e-bike market in Switzerland. TVS Motor Company endeavors to deliver the most superior customer experience across 80 countries in which we operate. For more information, please visit www.tvsmotor.com . Job Responsibilities We are seeking a seasoned leader with expertise in data science, AI/ML, and telematics to drive our digital twin initiatives. You will leverage large-scale telemetry to uncover actionable insights that enhance operational efficiency and reduce costs for EV part and components. By integrating advanced analytics, predictive models, and scalable platforms, you will help shape our digital twin strategy and deliver measurable business impact. Qualification Master's degree or more in data science, Computer Science, Engineering, Proven success applying data science and AI/ML to telematics for predictive maintenance, optimization, or operational improvement. Proficiency in Python, PySpark, AWS Glue, TensorFlow, PyTorch, MATLAB, and familiarity with IoT/cloud platforms. Hands-on experience with AWS and/or Databricks for large-scale data processing and model deployment. Effective communication, leadership, and stakeholder management skills, with a record of guiding teams and delivering measurable outcomes. Role Description: 1. Strategic Roadmap & Vision: Develop and execute a long-term digital twin strategy centred on effectively using telematics data to improve operations. Conduct cost-benefit analyses to ensure initiatives align with business goals and deliver strong ROI. Telematics Data Integration & Analytics: Oversee the ingestion, cleansing, and integration of telemetry, ensuring accurate and reliable data for informed decision-making. Collaborate with IT and data engineering teams to establish robust pipelines for real-time and historical data analysis. AI/ML-Driven Insights & Predictive Maintenance: Implement AI/ML models—predictive maintenance, anomaly detection, usage-based insights—that anticipate potential failures, reduce warranty costs, and improve asset utilization. Apply advanced analytics to identify underlying patterns and inform data-driven strategies. Performance Optimization & Scalability: Develop scalable digital twin architectures capable of handling complex datasets and simulations. Continuously evaluate emerging technologies to maintain a competitive technological edge. Standardization & Governance: Define best practices, standards, and governance frameworks for digital twin development and data analysis. Ensure robust security and privacy measures to protect sensitive information. Cross-Functional Collaboration & Stakeholder Engagement: Partner with engineering, operations, product management, and finance to align analytical insights with strategic objectives. Present findings through clear dashboards, reports, and presentations, enabling prompt, informed decisions. Team Leadership & Mentorship: Lead, mentor, and develop a high-performing team of data scientists, analysts, and engineers. Allocate resources, manage priorities, and ensure timely delivery of projects that drive business value.. 2. Behavioral Competencies Ø "Individual Competencies: decision-making, working with teams, confidence, technical know-how, self-motivation skills" Ø Interpersonal Competencies: high energy levels, communication skills, teamwork, persuasiveness, and handling problems Ø Motivational Competencies: motivator, taking initiatives, involving others in taking more initiatives, and leading by example. Ø "Managerial Competencies Ø leadership skills, managing people/teams, quick decision-making, addressing problems, analytical skills, and strategic planning" Ø Integrity: Consistent with words and actions, respond to pressure to act in conflict with their ethics, accept responsibility for mistakes, Doing right things in right way, belief that people are honest, credible, positive intent with track record of desired results Leadership Competencies Leading Innovation & Diverse Teams Adaptability Strategic Thinking Why TVSM? At TVSM, we are always challenging ourselves to build a better, connected & sustainable future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Working at TVSM Software also means flexibility - Choosing between working from home and the office is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in automotive software organization. We are a merit driven, equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, or disability status.

Description Job Title: Solution Architect Designation : Senior Company: Hitachi Rail GTS India Location: Noida, UP, India Salary: As per Industry Company Overview: Hitachi Rail is right at the forefront of the global mobility sector following the acquisition. The closing strengthens the company's strategic focus on helping current and potential Hitachi Rail and GTS customers through the sustainable mobility transition – the shift of people from private to sustainable public transport, driven by digitalization. Position Overview: We are looking for a Solution Architect that will be responsible for translating business requirements into technical solutions, ensuring the architecture is scalable, secure, and aligned with enterprise standards. Solution Architect will play a crucial role in defining the architecture and technical direction of the existing system. you will be responsible for the design, implementation, and deployment of solutions that integrate with transit infrastructure, ensuring seamless fare collection, real-time transaction processing, and enhanced user experiences. You will collaborate with development teams, stakeholders, and external partners to create scalable, secure, and highly available software solutions. Job Roles & Responsibilities: Architectural Design : Develop architectural documentation such as solution blueprints, high-level designs, and integration diagrams. Lead the design of the system's architecture, ensuring scalability, security, and high availability. Ensure the architecture aligns with the company's strategic goals and future vision for public transit technologies. Technology Strategy : Select the appropriate technology stack and tools to meet both functional and non-functional requirements, considering performance, cost, and long-term sustainability. System Integration : Work closely with teams to design and implement the integration of the AFC system with various third-party systems (e.g., payment gateways, backend services, cloud infrastructure). API Design & Management : Define standards for APIs to ensure easy integration with external systems, such as mobile applications, ticketing systems, and payment providers. Security & Compliance : Ensure that the AFC system meets the highest standards of data security, particularly for payment information, and complies with industry regulations (e.g., PCI-DSS, GDPR). Stakeholder Collaboration : Act as the technical lead during project planning and discussions, ensuring the design meets customer and business needs. Technical Leadership : Mentor and guide development teams through best practices in software development and architectural principles. Performance Optimization : Monitor and optimize system performance to ensure the AFC system can handle high volumes of transactions without compromise. Documentation & Quality Assurance : Maintain detailed architecture documentation, including design patterns, data flow, and integration points. Ensure the implementation follows best practices and quality standards. Research & Innovation : Stay up to date with the latest advancements in technology and propose innovative solutions to enhance the AFC system. Skills (Mandatory): DotNet (C#), C/C++, Java, ASP.NET Core (C#), Angular, OAuth2 / OpenID Connect (Authentication & Authorization) JWT (JSON Web Tokens) Spring Cloud, Docker, Kubernetes, Relational Databases (MSSQL) Data Warehousing SOAP/RESTful API Design, Redis (Caching & Pub/Sub) Preferred Skills (Good to have): Python, Android SSL/TLS Encryption OWASP Top 10 (Security Best Practices) Vault (Secret Management) Keycloak (Identity & Access Management) Swagger (API Documentation) NoSQL Databases, GraphQL, gRPC, OpenAPI, Istio, Apache Kafka, RabbitMQ, Consul, DevOps & CI/CD Tools Tools & Technologies: UML (Unified Modeling Language) Lucidchart / Draw.io (Diagramming) PlantUML (Text-based UML generation) C4 Model (Software architecture model), Enterprise Architect (Modeling), Apache Hadoop / Spark (Big Data), Elasticsearch (Search Engine), Apache Kafka (Stream Processing), TensorFlow / PyTorch (Machine Learning/AI) Education: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field. Experience Required: 12+ years of experience in solution architecture or software design. Proven experience with enterprise architecture frameworks (e.g., TOGAF, Zachman). Strong understanding of cloud platforms (AWS, Azure, or Google Cloud). Experience in system integration, API design, microservices, and SOA. Familiarity with data modeling and database technologies (SQL, NoSQL). Strong communication and stakeholder management skills. Preferred: Certification in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert). Experience with DevOps tools and CI/CD pipelines. Knowledge of security frameworks and compliance standards (e.g., ISO 27001, GDPR). Experience in Agile/Scrum environments. Domain knowledge in [insert industry: e.g., finance, transportation, healthcare]. Soft Skills: Analytical and strategic thinking. Excellent problem-solving abilities. Ability to lead and mentor cross-functional teams. Strong verbal and written communication.

Position: Data Engineer (AWS QuickSight, Glue, PySpark) (Noida) (CE46SF RM 3386) Education Required: Bachelor’s / Masters / PhD: Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering AWS certification (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Developer) Must have skills: Proficiency in AWS cloud services: AWS Glue, QuickSight, S3, Lambda, Athena, Redshift, EMR, and related technologies Strong experience with PySpark Expertise in SQL and data modeling for relational and non-relational databases Familiarity with business intelligence and visualization tools, especially Amazon QuickSight Good to have: Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch). Understanding of MLOps and model deployment best practices. Hands-on experience with AWS services for ML. Experience or familiarity with HVAC domain is a plus Key Responsibilities: Design, develop, and maintain data pipelines using AWS Glue, PySpark, and related AWS services to extract, transform, and load (ETL) data from diverse sources Build and optimize data warehouse/data lake infrastructure on AWS, ensuring efficient data storage, processing, and retrieval Develop and manage ETL processes to source data from various systems, including databases, APIs, and file storage, and create unified data models for analytics and reporting Implement and maintain business intelligence dashboards using Amazon QuickSight, enabling stakeholders to derive actionable insights Collaborate with cross-functional teams (business analysts, data scientists, product managers) to understand requirements and deliver scalable data solutions Ensure data quality, integrity, and security throughout the data lifecycle, implementing best practices for governance and compliance5. Support self-service analytics by empowering internal users to access and analyze data through QuickSight and other reporting tools1. Troubleshoot and resolve data pipeline issues, optimizing performance and reliability as needed Required Skills: Proficiency in AWS cloud services: AWS Glue, QuickSight, S3, Lambda, Athena, Redshift, EMR, and related technologies Strong experience with PySpark for large-scale data processing and transformation Expertise in SQL and data modeling for relational and non-relational databases Experience building and optimizing ETL pipelines and data integration workflows Familiarity with business intelligence and visualization tools, especially Amazon QuickSight Knowledge of data governance, security, and compliance best practices. Strong programming skills in Python; experience with automation and scripting Ability to work collaboratively in agile environments and manage multiple priorities effectively Excellent problem-solving and communication skills. ******************************************************************************************************************************************* Job Category: Digital_Cloud_Web Technologies Job Type: Full Time Job Location: Noida Experience: 4-6 years Notice period: 0-15 days

Position: Senior Data Scientist / Data Analyst (Noida) (CE58SF RM 3385) Education Required: Bachelor’s / Masters / PhD: Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Must have skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have: Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Job Description: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: Noida Experience: 5 - 8 Years Notice period: 0-15 days

Foxit is remaking the way the world interacts with documents through advanced PDF technology and tools. We are a leading global software provider of fast, affordable, and secure PDF solutions that are used by millions of people worldwide. Winner of numerous awards, Foxit has customers in more than 200 countries and global operations. We have a complete product line and an exciting and aggressive development schedule. Our proven PDF technology is disrupting the status quo establishment and has accelerated our company growth. We are proud to list as customers Google, Amazon, and NASDAQ, and with your skills and help, we plan to add many more. Foxit has offices all over the world, including locations in the US, Asia, Europe, and Australia. For more information, please visit https://www.foxit.com About the Role: As a Junior Product Manager for Foxit's Fusion Platform, you will play a key role in shaping product enhancements and AI-driven capabilities within our integrated document and workflow ecosystem. Leveraging your experience with widely adopted AI tools, you'll collaborate with product teams, engineering, and data science to deliver innovative, AI-powered user experiences. Responsibilities: Work closely with senior product owners and cross-functional teams to identify and prioritize enhancements leveraging AI for Foxit Fusion. Develop and refine user stories, acceptance criteria, and product documentation that clearly articulate Fusion's integrated AI features. Support product backlog management aligned with strategic objectives, particularly focusing on AI integration and usability. Assist with user and market research to uncover new opportunities for integrating AI within the Fusion ecosystem. Facilitate clear and effective communication among technical and non-technical stakeholders to align on AI initiatives. Track product metrics and user feedback to inform continuous improvements and iterations. Qualifications: Bachelor’s degree or relevant practical experience. 1-2 years in product management or product ownership roles, with hands-on experience using widely adopted AI tools. Practical knowledge of artificial intelligence, specifically as integrated into contemporary SaaS products. Familiarity with agile methodologies and the product lifecycle, especially within integrated software ecosystems like Fusion. Strong communication, collaboration, and analytical skills. Preferred Skills: Hands-on experience with popular AI platforms and frameworks (OpenAI APIs, TensorFlow, GPT models). Competency with data analytics tools (SQL, Excel, Tableau) for extracting insights and supporting decisions. Enthusiasm for staying updated on emerging AI technologies and industry trends.

AWS Data Engineer Location: Remote (India) Experience: 3+ Years Employment Type: Full-Time About the Role: We are seeking a talented AWS Data Engineer with at least 3 years of hands-on experience in building and managing data pipelines using AWS services. This role involves working with large-scale data, integrating multiple data sources (including sensor/IoT data), and enabling efficient, secure, and analytics-ready solutions. Experience in the energy industry or working with time-series/sensor data is a strong plus. Key Responsibilities: Build and maintain scalable ETL/ELT data pipelines using AWS Glue, Redshift, Lambda, EMR, S3, and Athena Process and integrate structured and unstructured data, including sensor/IoT and real-time streams Optimize pipeline performance and ensure reliability and fault tolerance Collaborate with cross-functional teams including data scientists and analysts Perform data transformations using Python, Pandas, and SQL Maintain data integrity, quality, and security across the platform Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation Support and monitor pipeline workflows, troubleshoot issues, and implement fixes Contribute to the adoption of emerging tools like AWS Bedrock, Textract, Rekognition, and GenAI solutions Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field 3+ years of experience in data engineering using AWS Strong skills in: AWS Glue, Redshift, S3, Lambda, EMR, Athena Python, Pandas, SQL RDS, Postgres, SAP HANA Solid understanding of data modeling, warehousing, and pipeline orchestration Experience with version control (Git) and infrastructure as code (Terraform) Preferred Skills: Experience working with energy sector dat a or IoT/sensor-based data Exposure to machine learnin g tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn) Familiarity with big data technologie s like Apache Spark, Kafka Experience with data visualization tool s (Tableau, Power BI, AWS QuickSight) Awareness of data governance and catalog tool s such as AWS Data Quality, Collibra, and AWS Databrew AWS Certifications (Data Analytics, Solutions Architect