1862 Keras Jobs - Page 24

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Job Title: – Software engineer Location: Remote Function/Department: Platform Engineering Position Summary We are looking for a talented and motivated Software Engineer with 2-4 years of experience in MERN stack (MongoDB, Express.js, React.js, Node.js) to join our team. The successful candidate will contribute to the development and maintenance of applications, ensuring their performance and quality. Responsibilities Develop and maintain software applications using the MERN stack. Collaborate with cross-functional teams to define, design, and develop new features. Troubleshoot, debug, and optimize existing applications for performance and scalability. Participate in full software development lifecycle, including requirement gathering, design, development, testing and deployment Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage. Required Skills proficiency in development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Experience with front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Good Experience in Software development lifecycle and processes. Strong problem-solving skills. Excellent written and oral communication skills Ability to work effectively in a cross-functional team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact Join our dynamic Machine Learning and AI team, where we build innovative models and solutions that drive business transformation and unlock new opportunities. You’ll be at the forefront of AI-powered initiatives, collaborating closely with product teams to shape the future of data-driven insights. This position offers high visibility and the chance to directly influence key decisions across the organization. You will report to the Manager of AI. Working Mode: Hybrid (3 days mandatory Office) What You'll Do Technical Leadership & Strategy Lead the design, development, and deployment of machine learning models and systems at scale. Define and drive the technical roadmap for ML initiatives in alignment with business goals. Evaluate and select appropriate ML techniques, architectures, and tools for various problems (e.g., NLP, CV, tabular data). Ensure robust experimentation, validation, and performance benchmarking practices. Team Guidance & Mentorship Mentor and support junior and mid-level ML engineers, guiding them on model development, research approaches, and code quality. Conduct technical reviews of models, pipelines, and code to ensure high standards. Promote a culture of continuous learning, innovation, and scientific rigor within the team. System & Pipeline Development Architect and implement scalable ML pipelines for training, validation, inference, and monitoring. Collaborate with data engineers to ensure high-quality data ingestion, feature engineering, and labeling workflows. Contribute to MLOps practices by building reproducible, testable, and maintainable model delivery frameworks. Assist in designing, developing, and implementing machine learning models for real-world applications. Work on data collection, preprocessing, feature engineering, and model evaluation tasks. Collaborate with cross-functional teams including Data Science, Software Engineering, and Product. Perform exploratory data analysis (EDA) and prepare datasets for training/testing. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and well-documented code in Python or similar languages. Stay updated with the latest developments in AI/ML research and tools. Assist in model optimization, hyperparameter tuning, and performance scaling. Stay current with the latest industry trends and technologies, contributing innovative ideas to ongoing projects. Test and validate models to ensure their reliability and effectiveness in production environments. Work with large datasets to extract meaningful insights using various statistical and ML techniques. What We're Looking For Required Skills Bachelor’s or master’s degree in computer science, Engineering, or a related field is required. 5+ years of experience in software development, with a focus on systems handling large-scale data operations. Strong foundation in Machine Learning concepts (supervised/unsupervised learning, regression, classification, clustering, etc.). Good programming skills in Python (or similar languages like R, Java, C++). Hands-on experience with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Understanding of data structures, algorithms, and basic mathematics/statistics and database management systems. Excellent verbal and written communication skills, capable of articulating complex concepts to technical and non-technical audiences. Familiarity with data handling tools (e.g., Pandas, NumPy, SQL). Good analytical, problem-solving, and communication skills. Ability to learn new technologies quickly and work independently or as part of a team. Ability to work collaboratively in a team environment, contributing to group success while expanding personal skills. Desired Skills Exposure to deep learning, NLP, computer vision, or reinforcement learning projects (academic or internships). Knowledge of cloud platforms like AWS, Azure, or GCP. Familiarity with version control systems (e.g., Git). Understanding of MLOps concepts and pipelines (bonus) What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn . At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

DESCRIPTION We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As an engineer you will be responsible for: Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the design and implementation. Management and execution against project plans and delivery commitments. Assist directly and indirectly in the continual hiring and development of technical talent. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About the team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. BASIC QUALIFICATIONS 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language PREFERRED QUALIFICATIONS 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Amazon.in Software Development

Position: Senior Data Scientist Location: Thane West, Mumbai Experience: 5 to 12 Years CTC: Up to ₹22 LPA About the Role: We are looking for a passionate and highly skilled Senior Data Scientist / Machine Learning Specialist to join our dynamic team. This individual will play a key role in designing, building, and deploying innovative machine learning systems and contributing to product development initiatives across cloud and edge computing environments. Key Responsibilities: Analyze and solve complex problems by proposing, designing, and delivering scalable technical solutions. Study and transform data science prototypes into production-ready systems. Design and develop machine learning applications and systems. Research and implement suitable ML algorithms and tools. Select appropriate datasets and data representation techniques. Conduct ML tests, experiments, and statistical analysis to refine model performance. Train and retrain systems as needed. Extend and customize existing ML libraries and frameworks for specific use cases. Collaborate closely with cross-functional teams for product development initiatives, including work on distributed systems, fault-tolerant architecture, containerization, etc. Required Technical Skills: Strong programming skills (Python preferred). Solid understanding of Data Structures and Algorithms. Proficiency in R, TensorFlow, SciPy, and ML frameworks such as Keras, PyTorch, or scikit-learn. Experience with Generative AI (GenAI) implementation in at least one project. Working knowledge of LLM tools and techniques. Expertise in Cloud Services: AWS, GCP, or Azure. In-depth knowledge of machine learning concepts, statistics, probability, and applied mathematics. Familiarity with full-stack development concepts is a plus. Experience with one or more DBMS platforms. Excellent analytical and problem-solving skills. Strong communication skills and the ability to work well in a team. Who Should Apply: Candidates with notice periods of 15 days or less only (strict requirement). Local candidates preferred — must be located between Dadar and Vashi. Let’s Connect! Send your updated resume to: sayaji@expediteinformatics.com Call us at: +91 96655 66357

Role & responsibilities : you'll craft innovative ML solutions ready for both showcase and deployment in real-world scenarios. By staying engaged in research on the latest developments in the field and working with internal and external stakeholders, you will deliver statistically driven outcomes using best-in-class engineering practices to improve standards of care while guiding and mentoring more junior data scientists. Join us in this dynamic role and be at the forefront of technological innovation. Preferred candidate profile Must have: Good communication skills 1. Need 5 Years hands on experience in Data Science 2. Need 3 Years experience in exploratory data analysis and visualization methods, classification and regression algorithms,statistical analysis and modelling 3. Experience with programming language is must and Python is preferred. 4. Need 2 year experience in healthcare or Finance or Banking and a matrixed organization 5. Need 2 years experience with any one ML frameworks such as Scikit-Learn, Tensorflow, or Keras or similar 6. 1 Year experience in mentoring junior members of the team 7. 3 years experience with numeric, imaging, and textual data wrangling and visualization 8. 2 years experience with cloud platforms and ML services 9. 1 year experience in GenAI and training LLMs 10. Experience in operational research paper 1. Key asks for the role: Experience in Data Science to work on given problem statement Data science is not static; it requires continuous learning and adaptation to new algorithms, approaches, and technological advancements He should be a proactive learner, strategic thinker, and collaborative team player who can effectively leverage new technologies and approaches to drive value for the organization. For IC4 level, expectation from Leadership experience is who demonstrates a combination of independence, 1 year in mentoring abilities, potential for future leadership, strong communication skills, effective task management, and collaborative spirit. He should be technical expert not a people management person. Hands on experience with programming language with clear OOPS concepts. Since we are looking for hands on experience with cloud platforms, any cloud experience is ok- GCP,Azure, AWS Need a candidate with domain expertise because along with strong analytical and technical skills he should understand the specific nuances and challenges of the industry they will be working in Would prefer candidates with a PhD and research experience; however, since there are 9 open positions, we are open to balancing the requirement by including a few hires without this background. Warm Regards, Abhishek Lahane Senior HR Executive ________________________________________________________ Peoplefy PUNE | MUMBAI | DELHI | HYD | BLR Email: abhishek.la@peoplefy.com Linkedin: linkedin.com/in/abhishek2741 http://www.peoplefy.com

Company Description Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. To learn more visit: www.syngenta.com Job Description Purpose Be integral part of the P&S Data Science team that applies technical expertise in data management, data science, machine learning, artificial intelligence, and automation to design, build, deploy, and maintain solutions across multiple countries. Work with project teams and SMEs to understand business requirements and develop appropriate data and AI/ML solutions. Contribute solutions with explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques to existing and new projects. Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams. Accountabilities Develop and implement complex statistical models, machine learning algorithms, and data mining techniques to extract insights from large datasets. Lead data science projects from conception to completion, defining scope, methodology, and deliverables. Collaborate with business leaders to translate data insights into actionable strategies and recommendations. Guide and mentor junior data scientists, fostering their professional development and technical skills. Contribute to the design and improvement of data architecture, pipelines, and storage solutions. Stay current with the latest advancements in data science and introduce new techniques or technologies to the organization. Establish and maintain standards for data quality, documentation, and ethical use of data. Present complex findings to both technical and non-technical audiences, including executive leadership. Address complex business challenges using data-driven approaches and creative solutions. Improve the efficiency and scalability of data processing and model deployment. Develop deep knowledge in Syngenta’s P&S operations to better contextualize data insights. Own the design, build, and deploy process including collaboration with users and multi-disciplinary teams to fulfil the user, business and technical requirements. Qualifications Required Knowledge & Technical Skills Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). Understanding of ETL processes and data pipeline design. Required development skills: Data Science – TensorFlow Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras, etc. Programming – Python with pytorch and tensorflow Data – SQL, EDA, Descriptive and Predictive analysis, visualization Preferred additional skills: Web services – RESTful APIs and API testing, JSON, etc. Front end – JavaScript, Flask, React, Node.js, Vue, Django, or other. Tools – Git, npm, pip, Heroku, or other tools. Knowledge and hands-on experience supervised and unsupervised ML using Logistic/multi-variate regression, Gradient Boosting, Decision Trees, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization, etc. Preference for proven experience in adapting algorithms to required models - Regression, Decision Trees, Random Forests, LLM. Preference for experience in production and supply domain: production planning, supply chain, logistics, track and trace, CRM, etc. Preference for experience in Deep Learning model development in agriculture, supply chain or related domains. Documentation of documentation of APIs, models, and operational manuals (Markdown, etc.). Must be able to work on end to end activities from design, development and deployment Required Experience Previous internship, placement, or project experience in data engineering, data science, software development, or a related field. Required 2 years experience of building data science projects using AI/ML models. Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential). Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: Twitter & LinkedIn https://twitter.com/SyngentaAPAC https://www.linkedin.com/company/syngenta/ India page https://www.linkedin.com/company/70489427/admin/

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,

As a Python Developer specializing in AI and ML, you will play a crucial role in our team located in Guindy, Chennai. Your primary responsibility will be to create Python-based AI/ML models, establish scalable pipelines, and implement intelligent systems to tackle intricate real-world challenges. Your duties will include designing and executing AI/ML models in Python utilizing libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Additionally, you will fine-tune pre-trained models, write well-documented Python code, and handle large datasets efficiently using tools like Pandas, NumPy, and PySpark. Furthermore, you will be tasked with developing data pipelines, building Python-based APIs for model integration, deploying models with tools like Docker, and optimizing model efficiency using Python techniques. It is essential to stay updated on Python advancements and collaborate with various stakeholders to deliver Python-driven solutions effectively. To be successful in this role, you should hold a degree in Computer Science or related fields, demonstrate expertise in Python programming, possess knowledge of AI/ML frameworks, and exhibit familiarity with data analysis and visualization libraries. Proficiency in version control tools, deploying ML models, and strong problem-solving skills are also essential. Preferred qualifications include proficiency in Python-based Big Data tools, experience with NLP frameworks, and familiarity with MLOps tools. By joining our team, you will have the opportunity to work on impactful AI/ML projects, grow in a collaborative environment, and lead with Python in cutting-edge technologies. If you are passionate about leveraging Python for AI/ML projects, eager to collaborate with a dynamic team, and excited about shaping the future of AI, we look forward to welcoming you on board. To apply, kindly submit your resume and examples of Python-based AI/ML projects to hr@whitemastery.com. This is a full-time, permanent position with a day shift schedule, and the expected start date is 15/04/2025.,

Job Title : Data : Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related : 6 To 10 set : Artificial Intelligence / Machine knowledge : Strong working knowledge of the Google Cloud Platform (GCP) and its AI/ML services. Proven experience in chatbot creation and development using relevant frameworks. Proven experience in developing and implementing machine learning models. Strong programming skills in Python, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras , Matplotlib and Seaborn. Proficiency in SQL querying and database management. Experience with front-end frameworks such as React or Angular and CSS. Experience with back-end frameworks such as Django, Flask, or FastAPI. Experience in prompt engineering for large language models (LLMs), including prompt design, optimization, and evaluation. Strong problem-solving skills and the ability to translate business requirements into technical solutions. Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical Description : Deploy and manage AI/ML applications on the Google Cloud Platform (GCP). Design, develop, and implement conversational AI solutions using various chatbot frameworks and platforms. Design, develop, and optimize prompts for large language models (LLMs) to achieve desired outputs. Develop and implement machine learning models using supervised, unsupervised, and reinforcement learning algorithms. Utilize Python with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras to build and deploy machine learning solutions. Create visualizations using Matplotlib and Seaborn to communicate insights. Write and optimize SQL queries to extract and manipulate data from various databases. Develop and maintain web applications and APIs using Python frameworks such as Django, Flask, or FastAPI. Build user interfaces using JavaScript frameworks such as React or Angular, along with CSS. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts and findings to non-technical stakeholders through presentations and reports. (ref:hirist.tech)

Job Summary The Head of AI Services will be responsible for overseeing the development, implementation, and maintenance of AI technologies. This role will lead a team of AI engineers and data scientists, ensuring the standardization of AI applications, and establishing workflows and frameworks for AI deployment, testing and enablement. The ideal candidate will have deep expertise in AI, machine learning, software engineering and design patterns along with strong leadership and project management skills. Key Responsibilities Leadership: Lead and mentor a team of AI engineers and software engineers, fostering a collaborative and innovative environment. Drive the development of AI solutions and workflows that align with the company's strategic goals. Standardized AI applications Onboarding: Develop and implement processes for the standardized onboarding of AI applications, ensuring consistency and efficiency across projects. Create and maintain a comprehensive toolkit for AI development, enabling efficient and standardized workflows for AI engineers. Data Science Workflow Standardization: Create and enforce standardized workflows for data science projects. Testing Framework: Oversee platform testing to ensure seamless end-user flows and high-quality user experiences. Design and maintain a comprehensive deployment testing framework to evaluate model serving, throughput, and performance. Also establish frameworks for model testing that focus on explainability, bias, ethics, and robustness, ensuring that models are reliable and fair. Identifying AI opportunities: Identify opportunities for AI-driven solutions that can improve business processes, enhance customer experiences, and contribute to revenue growth. AI Metrics and Observability: Define and monitor key AI metrics, establishing observability practices to track model performance and health in production environments. AI design patterns: Develop and maintain AI patterns (predictive ML, statistical modelling, agentic workflows, LLMs, RAG-LLMS). Cross-Functional Collaboration and communication: Communicate complex AI concepts to non-technical stakeholders in a clear and concise manner. Skills And Experience Minimum 15 years of experience in Technology Proven experience in a senior AI engineering role, with a track record of successfully leading AI teams and projects. Deep understanding of AI, machine learning, and data science principles, including supervised and unsupervised learning, neural networks, natural language processing, and computer vision. Experience with standardized model onboarding, deployment, and testing frameworks. Experience with AI frameworks and libraries such as TensorFlow, Keras, PyTorch, or scikit-learn. Proficiency in AI metrics, observability, and model optimization techniques. Excellent project management and organizational skills, with the ability to prioritize and manage multiple tasks simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Passion for innovation and staying updated with the latest advancements in AI technology. Hands on with AI platform Development Expert Hands on with ML framework, best practices and ops implementation Expert Hands-on experience with GPU computing and optimization for AI workloads Expert Experience with design and implementation of robust data integration pipelines Expert Programming languages such as Python, Java, or C++. Advanced Qualifications Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Hi , We are currently hiring for the following exciting opportunities within our organization AIML engineer /Data Scientist with following skills : PythonData ScientistGen AIAIMLDeep learningTensorflowComputer VisionKerasPytorchMachine LearningArtificial Intelligence All roles are Work from Office in Hybrid MOde.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Solution Design:Collaborate with stakeholders to design and implement effective Generative AI solutions tailored to specific business requirements, ensuring alignment with industry best practices. Framework Development:Build and enhance frameworks for deploying Generative AI applications, ensuring they are robust, scalable, and optimized for hyper-scaler environments. LLM Integration:Work extensively with Large Language Models, optimizing their performance for various applications and use cases, while leveraging the capabilities of hyper-scaler platforms. Deep learning and ML expertiseExcellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good applied statistics skills, such as distributions, statistical inference & testing, etc. Hands-On Development:Engage in hands-on coding and development of AI models and algorithms, utilizing the latest tools and technologies in the Generative AI landscape. Proof of Concept (PoC) Development:Lead the creation of PoCs that demonstrate the capabilities of Generative AI solutions. Your Profile Education:Bachelors degree in Computer Science, Software Engineering, or a related field; Masters degree is a plus. Experience:Hands-on experience in AI/ML development, with a strong emphasis on Generative AI technologies in hyper-scaler environments Technical Skills: Proficiency in programming languages such as Python, TensorFlow, or PyTorch; experience with LLM frameworks and model deployment on platforms like AWS, Azure, or Google Cloud. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

: Job Title AI Engineer, AVP LocationBangalore, India Role Description We are seeking a talented and experienced AI Engineer to join our team. The ideal candidate will be hands-on and drive design, development, and implementation of AI based solutions for CB Tech. This role involves working with large datasets, conducting experiments, and staying updated with the latest advancements in AI and Machine Learning. This person is expected to innovate and lead the efforts in modernizing the engineering landscape by identifying AI use cases and provide local support. E.g. Test Automation using AI etc. If you are actively coding, have a passion for AI and want to be part of developing innovative products then apply today. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities What Youll Do Design, develop and implement AI and Gen-AI based Agentic software systems on the cloud. Write MCP Servers and Clients. Collaborate with other development teams and SMEs to integrate shared services into products. Learn Deutsche Banks AI Governance framework and operate within safe AI principles. Leverage architecture decision trees to pick strategic AI patterns to solve business problems. Integrate Gen-AI APIs with cloud-native presentation (GKE, Cloud Run) and persistent layers (PostgreSQL, BQ). Run systems at scale while continuing to innovate and evolve. Work with data engineers and scientists to ensure effective data collection and preparation for training AI models. Continuously monitor the performance of AI solutions and implement improvements. Lead training sessions and create comprehensive documentation to empower end users. Function as an active member of an agile team. Your skills and experience AI ExpertiseProficiency in frameworks (Langchain, Streamlit or similar), libraries (Scikit-learn or similar) and cloud platforms (GCP preferable) for AI/ML. Prompt Engineering & RAGSkills in crafting effective prompts and enhancing AI outputs with external data integration. NLP KnowledgeStrong understanding of natural language processing and conversational AI technologies. Deployment & OperationsExperience in model deployment, monitoring, optimization (MLOps), and problem-solving. Proficiency with cloud-native orchestration systems (Docker/Kubernetes). Proficiency in Python or Java, and SQL. Knowledge of RESTful design. Experience working with different types of enterprise and real-world data sets structured, semi-structured and unstructured data. Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. Relationship and consensus building skills. Skills That Will Help You Excel Stakeholder CommunicationAbility to explain AI concepts to non-technical audiences and collaborate cross-functionally. Adaptability & InnovationFlexibility in learning new tools and developing innovative solutions. Experience in GCP Vertex AI. Experience with cloud-native databases/warehouses (PG and BigQuery). Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts. Thought Leadership & AdvocacyDevelop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI topics. How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.

Scale an existing RAG code base for a production grade AI application Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities - Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines.- Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution.- Collaborate with CPU, GPU, and Neural Engine hardware backends to push inference performance and efficiency- Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models, including large language models- Automate data processing and extraction- Engage with sales team to find opportunities, understand requirements, and translate those requirements into technical solutions.- Develop reusable ML models and assets into production. Technical and Professional : - Excellent Python programming and debugging skills. (Refer to Pytho JD given below)- Proficiency with SQL, relational databases, & non-relational databases- Passion for API design and software architecture.- Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners- Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems.- Experience with modern large language model (Chat GPT/BERT) and applications.- Expertise with performance optimization.- Experience or knowledge in public cloud AWS services - S3, Lambda.- Familiarity with distributed databases, such as Snowflake, Oracle.- Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Preferred Skills: Technology-Big Data - Data Processing-Spark Technology-Machine Learning-R Technology-Machine Learning-Python

Company Description Webskitters Technology Solutions Pvt. Ltd. is a globally-renowned company that delivers top-notch Web and Mobile App Design, Development, Digital Marketing, Artificial Intelligence, and Internet of Things services. The company operates from offices in the USA, UK, and India, providing innovative solutions to clients worldwide. Job Title: Data Science Trainer Location: Salt Lake, Kolkata Job Type: Full time Experience Required: 2–5+ years in Data Science / Analytics Trainer Industry: Education & Training / IT Services / EdTech Job Summary: We are looking for an experienced and passionate Data Science Trainer to deliver engaging and effective training sessions to students and professionals. The ideal candidate will have strong expertise in Python, Machine Learning, and Data Analysis, and a passion for teaching and mentoring. Key Responsibilities: Conduct interactive training sessions on Data Science, Machine Learning, and related topics. Design and update course materials, projects, and assessments aligned with current industry standards. Teach concepts including statistics, Python programming, data visualization, supervised/unsupervised learning, and model deployment. Guide learners on hands-on projects and capstone assignments. Monitor learner progress and provide personalized feedback and support. Keep curriculum and content updated with the latest technologies and practices in the field. Conduct doubt-clearing sessions, code reviews, and interview preparation. Support learners with resume building, portfolio preparation, and mock interviews (if applicable). Skills and Qualifications: Strong foundation in Python, NumPy, Pandas, Matplotlib, Seaborn , etc. Experience with Machine Learning libraries (Scikit-learn, XGBoost) and frameworks. Knowledge of SQL , Statistics , and Data Wrangling techniques. Familiarity with Deep Learning (TensorFlow/Keras/PyTorch) is a plus. Experience using Jupyter Notebooks , Git/GitHub. Proficiency in tools like Power BI or Tableau is a plus. Excellent communication and presentation skills. Prior experience in teaching/training/mentoring is highly preferred. Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or a related field. Certifications in Data Science/ML (Coursera, IBM, edX, etc.). Experience in delivering sessions to diverse learner groups (freshers, working professionals). Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment is a bonus. If you are passionate about teaching and have the skills we're looking for, please share your updated CV at hr18@webskitters.com with the subject line: "Application for Data Science Trainer".

Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude

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.

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

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras / Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Build Audio ML/DL models for given requirement Build models from scratch wherever required Must be able to code relevant research papers independently Tune to improve accuracy and latency Support to satisfy the deployment requirements of the product Apply transfer learning wherever required Must have skills Audio AI Modelling and tuning experience Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow framework. Variations of CNN, Auto Encoders Proficiency in machine learning/audio preprocessing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features. Signal Processing fundamentals Experience in Acoustic models for speech recognition systems. Good to have Audio AI Audio related certification Tools for creating Synthetic data Experience working in Edge devices

Education AI / ML Engineer - Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field Technical Skills Proficient in Python and ML libraries: scikit-learn, XGBoost, pandas, NumPy, matplotlib, seaborn, etc. Strong understanding of machine learning algorithms and deep learning architectures (CNNs, RNNs, Transformers, etc.) Hands-on with TensorFlow , PyTorch , or Keras Experience in data preprocessing , feature selection , EDA , and model interpretability Comfortable with API development and deploying models using Flask, FastAPI, or similar Experience with MLOps tools like MLflow , Kubeflow , DVC , Airflow , etc. Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML Strong understanding of version control (Git), CI/CD, and containerization (Docker) Bonus Skills (Good To Have) NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers) Computer Vision experience using OpenCV or YOLO/Detectron Knowledge of Reinforcement Learning or Generative AI (GANs, LLMs) Experience with vector databases (e.g., Pinecone, Weaviate) and LangChain for AI agent building Familiarity with data labeling platforms and annotation workflows Soft Skills Analytical mindset with problem-solving skills Strong communication and collaboration abilities Ability to work independently in a fast-paced, agile environment Passion for AI/ML and eagerness to stay updated with the latest developments Skills: fastapi,pandas,ml libraries,pinecone,docker,langchain,matplotlib,yolo,numpy,yolo/detectron,nltk,machine learning,spacy,vertex ai,feature selection,lambda,gans,tensorflow,airflow,weaviate,data labeling,nlp frameworks,seaborn,python,git,ai,cnns,xgboost,model interpretability,deep learning architectures,dvc,generative ai,opencv,s3,detectron,aws,data preprocessing,api development,ci/cd,gcp,scikit-learn,transformers,vector databases,mlops tools,mlflow,sagemaker,machine learning algorithms,hugging face transformers,kubeflow,eda,annotation workflows,llms,containerization,reinforcement learning,ml,pytorch,flask,rnns,azure ml,keras

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms. Role Overview As an AI & ML Intern , you’ll work on projects involving model development, data preprocessing, and algorithm implementation. You'll gain practical experience applying artificial intelligence concepts to solve real business problems. Key Responsibilities Collect and preprocess structured and unstructured data Implement supervised and unsupervised machine learning algorithms Work on deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance and tune hyperparameters Develop intelligent solutions and predictive systems Collaborate with peers on AI-driven projects Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn Familiar with machine learning and deep learning concepts Knowledge of TensorFlow, Keras, or PyTorch is a plus Strong mathematical and analytical thinking Enthusiastic about AI/ML innovations and eager to learn What You’ll Gain Real-world experience developing AI and ML models Internship Completion Certificate Letter of Recommendation for high-performing interns Portfolio of AI/ML projects for career building Potential full-time offer based on performance

Current Openings Software Engineer - AI/ML Software Engineer - AI/ML Experience : 2 - 4 years Bhubaneswar Apply About The Job Featured As an AI/ML Engineer, you will be responsible for designing, validating, and integrating cutting-edge machine learning models and algorithms. Collaborate closely with cross-functional teams, including data scientists, to recognize and establish project objectives. Oversee data infrastructure maintenance, ensuring streamlined and scalable data operations. Stay updated with advancements in AI and propose their integration for operational enhancement. Effectively convey detailed data insights to non-technical stakeholders. Uphold stringent data privacy and security protocols. Engage in the full lifecycle of AI projects, spanning from ideation through deployment and continuous upkeep. Core Responsibilities Develop, validate, and implement machine learning models and algorithms. Collaborate with data scientists and other stakeholders to understand and define project goals. Maintain data infrastructure and ensure scalability and efficiency of data-related operations. Stay abreast of the latest developments in the field of AI/Client and recommend ways to implement them in our operations. Communicate complex data findings in a clear and understandable manner to non-technical stakeholders. Adhere to data privacy and security guidelines. Participate in the entire AI project lifecycle, from concept to deployment and maintenance. Required Skills Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals. Solid theoretical understanding of machine learning. Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth, and compute. Experience with Vector databases like Chroma Db, Pinecone, PGVector or similar Experience with Large language Models like GPT 3.5, GPT 4, GPT 4.o, Llama, Gemini, Mistral etc. Experience in LLM integration framework like langchain, Llamaindex, AgentGPT etc Experience with ML Models from definition to deployment, including training, quantization, sparsity, model preprocessing, and deployment. Proficiency in Python development in a Linux environment and using standard development tools. Experience with deep learning frameworks (such as PyTorch, Tensorflow, Keras, Spark). Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). Experience in training, tuning, and deploying ML models for Computer Vision (e.g., ResNet), and/or Recommendation Systems (e.g., DLRM). Experience deploying ML workloads on distributed systems. Self-motivated team player with a strong sense of ownership and leadership. Strong verbal, written, and organizational skills for effective communication and documentation. Research background with a publication record. Work experience at a cloud provider or AI compute/sub-system company. Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud. Experience with information security and secure development best practices. Qualifications Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field. 2-4 yrs of hands-on experience in AI/ML Apply