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3.0 - 5.0 years
8 - 14 Lacs
Pune
Work from Office
Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.
Posted 1 week ago
3.0 - 8.0 years
9 - 19 Lacs
Ahmedabad
Hybrid
We're seeking an experienced AI/ML Engineer who thrives on curiosity and innovation to join our dynamic engineering team. This role offers an exciting chance to tackle impactful real-world machine learning challenges and play a key part in developing advanced, state-of-the-art AI solutions. Role & responsibilities Architect, train, fine-tune, and distill LLMs and deep-learning models for NLP, generative AI, and agentic AI applications. Assist in designing, developing, and training machine learning models using structured and unstructured data Conduct thorough testing, evaluation, benchmarking, and validation to ensure performance and robustness Deploy models into production using MLOps pipelines (CI/CD, versioning, monitoring) Optimize models and inference pipelines for latency, throughput, and compute efficiency Mentor junior engineers and collaborate cross-functionally with data engineers, DevOps, product managers Curate, cleanse, and transform extensive datasets to prepare them for robust model development. Conduct insightful exploratory data analysis and apply advanced statistical modeling techniques. Execute systematic experiments, optimize hyperparameters, and rigorously assess models using established performance metrics. Maintain comprehensive documentation detailing model architectures, data pipelines, and experimental outcomes. Develop and integrate AI-enhanced tools including web-search functionalities, intelligent image editing, and related applications. Support in integrating AI/ML models into production environments Skill Sets We Require- Frameworks: PyTorch (latest, including TorchDynamo), TensorFlow 2.x Finetuning & Distillation: Implement teacherstudent training, supervised finetuning, responsebased distillation and Transorfermers. Model Lifecycle Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy. Understanding of probability, statistics, and linear algebra APIs & Storage: RESTful APIs, ONNX, SQL/NoSQL databases, S3 Buckets. CI/CD: Git, GitHub Actions, Docker Registry, automated testing & deployment (Good to have) Required Qualifications- Btech/BE in Computer Science or Equivalent Field 4+ years of hands-on experience in training, tuning, and deploying LLMs and deep-learning models. Proficient with PyTorch, Transformer frameworks
Posted 1 week ago
1.0 - 2.0 years
25 - 30 Lacs
Pune
Work from Office
Job Title Senior Data Scientist - Data Analytics How you will do it Advanced Analytics, LLMs Modeling Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e. g. , GPT, LLaMA, Claude). Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Fine-tune or prompt-engineer foundation models (e. g. , OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Data Strategy Engineering Collaboration Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e. g. , FAISS, Azure Cognitive Search). Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. Business Impact AI Strategy Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. Thought Leadership Mentorship Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks. Contribute to strategic roadmaps for generative AI and model governance within the enterprise. Qualifications Experience Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 5+ years of hands-on experience in data science, including at least 1-2 years working with LLMs or generative AI technologies. Demonstrated success in deploying machine learning and NLP solutions at scale. Proven experience with cloud AI platforms especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. Technical Expertise Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. Experience with prompt engineering, fine-tuning, and LLM orchestration tools. Familiarity with data storage, retrieval systems, and vector databases. Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. Leadership Soft Skills Strategic thinker with a strong ability to align AI initiatives to business goals. Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. Preferred Qualifications Experience with IoT, edge analytics, or smart building systems. Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.
Posted 1 week ago
3.0 - 6.0 years
7 - 11 Lacs
Hyderabad
Work from Office
Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human data to push beyond what s known today. ABOUT THE ROLE Let s do this. Let s change the world. At Amgen, we believe that innovation can and should be happening across the entire company. Part of the Artificial Intelligence Data function of the Amgen Technology and Medical Organizations (ATMOS), the AI Data Innovation Lab (the Lab) is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We ve built algorithms that predict bone fractures in patients who haven t even been diagnosed with osteoporosis yet. We ve built software to help us select clinical trial sites so we can get medicines to patients faster. We ve built AI capabilities to standardize and accelerate the authoring of regulatory documents so we can shorten the drug approval cycle. And that s just a part of the beginning. Join us! We are seeking a Senior DevOps Software Engineer to join the Lab s software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior DevOps Software Engineer will design and implement deployment strategies for AI systems using the AWS stack, ensuring high availability, performance, and scalability of applications. Roles Responsibilities: Design and implement deployment strategies using the AWS stack, including EKS, ECS, Lambda, SageMaker, and DynamoDB. Configure and manage CI/CD pipelines in GitLab to streamline the deployment process. Develop, deploy, and manage scalable applications on AWS, ensuring they meet high standards for availability and performance. Implement infrastructure-as-code (IaC) to provision and manage cloud resources consistently and reproducibly. Collaborate with AI product design and development teams to ensure seamless integration of AI models into the infrastructure. Monitor and optimize the performance of deployed AI systems, addressing any issues related to scaling, availability, and performance. Lead and develop standards, processes, and best practices for the team across the AI system deployment lifecycle. Stay updated on emerging technologies and best practices in AI infrastructure and AWS services to continuously improve deployment strategies. Familiarity with AI concepts such as traditional AI, generative AI, and agentic AI, with the ability to learn and adopt new skills quickly. Functional Skills: Deep expertise in designing and maintaining CI/CD pipelines and enabling software engineering best practices and overall software product development lifecycle. Ability to implement automated testing, build, deployment, and rollback strategies. Advanced proficiency managing and deploying infrastructure with the AWS cloud platform, including cost planning, tracking and optimization. Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred). Experience with databases (Postgres/DynamoDB) Experience with microservices architecture and containerization (Docker, Kubernetes). Good-to-Have Skills: Familiarity with enterprise software systems in life sciences or healthcare domains. Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark). Knowledge of data security, privacy regulations, and scalable software solutions. Soft Skills: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Basic Qualifications: Bachelor s degree in Computer Science, AI, Software Engineering, or related field. 5+ years of experience in full-stack software engineering. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. .
Posted 1 week ago
0.0 - 10.0 years
22 - 27 Lacs
Mumbai
Work from Office
As a Software Engineer II at JPMorgan Chase within the Technology Division, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies
Posted 1 week ago
1.0 - 6.0 years
13 - 14 Lacs
Bengaluru
Work from Office
As a Software Engineer III at JPMorgan Chase within the Consumer Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience in Mobile Automation Testing Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies
Posted 1 week ago
3.0 - 10.0 years
15 - 16 Lacs
Bengaluru
Work from Office
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Consumer Community Banking Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience in Java, AWS, Terraforms Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience
Posted 1 week ago
13.0 - 19.0 years
50 - 65 Lacs
Bengaluru
Work from Office
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Consumer Community Banking Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience in Java, AWS, Terraforms. In addition, demonstrated coaching and mentoring experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience
Posted 1 week ago
0.0 - 10.0 years
22 - 27 Lacs
Bengaluru
Work from Office
You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer Community Banking Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience in Java, AWS, Kafka, Terraforms Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Experience in agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies
Posted 1 week ago
3.0 - 10.0 years
15 - 16 Lacs
Bengaluru
Work from Office
You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience in Java, AWS, Terraforms Hands-on practical experience in system design, application development, testing, and operational stability, with hands-on experience in developing and deploying applications on AWS Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies
Posted 1 week ago
3.0 - 10.0 years
15 - 16 Lacs
Bengaluru
Work from Office
You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience in Java, AWS, Terraforms Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Experience in agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies
Posted 1 week ago
13.0 - 19.0 years
50 - 65 Lacs
Pune
Work from Office
As a Manager of Software Engineering - Cloud at JPMorgan Chase, you will lead a team of cloud engineers to develop and implement scalable, reliable, and secure cloud-based solutions. You will play a pivotal role in shaping the cloud strategy and architecture, ensuring alignment with business goals and technical requirements. Your leadership will drive innovation and operational excellence in cloud technologies, fostering a collaborative environment to achieve project objectives. Job Responsibilities Lead and mentor a team of cloud engineers, fostering a culture of innovation and continuous improvement. Collaborate with technical teams and business stakeholders to propose and implement cloud solutions that meet current and future needs. Define and drive the technical target state of cloud products, ensuring alignment with strategic goals. Participate in architecture governance bodies to ensure compliance with best practices and standards. Evaluate and provide feedback on new cloud technologies, recommending solutions for future state architecture. Oversee the design, development, and deployment of cloud-based solutions on AWS, utilizing services such as EC2, S3, Lambda, and RDS. Integrate DevOps practices, including Infrastructure as Code (IaC) using tools like Terraform and AWS CloudFormation, and Configuration Management with Ansible or Chef. Establish and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI, or AWS CodePipeline. Identify opportunities to automate remediation of recurring issues to improve operational stability of cloud applications and systems. Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials. Required Qualifications, Capabilities, and Skills Formal training or certification in cloud engineering concepts with 5+ years of applied experience. Proven experience in leading cloud engineering teams and delivering cloud solutions. Advanced proficiency in one or more programming languages. Expertise in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle, with a focus on cloud technologies. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated proficiency in cloud applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ). Practical cloud-native experience, particularly with AWS services and architecture, including VPC, IAM, and CloudWatch. Preferred Qualifications, Capabilities, and Skills In-depth knowledge of the financial services industry and their IT systems. Advanced knowledge of cloud software, applications, and architecture disciplines. Ability to evaluate current and emerging cloud technologies to recommend the best solutions for the future state architecture.
Posted 1 week ago
11.0 - 19.0 years
32 - 40 Lacs
Hyderabad
Work from Office
You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don t pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry. As a Senior Lead Data Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications, platform and data products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains. Job responsibilities Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices Evaluates new and current technologies using existing data architecture standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Design secure, high-quality, scalable solutions and reviews architecture solutions designed by others Drives data architecture decisions that impact data product platform design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the data engineering community as an advocate of firmwide data frameworks, tools, and practices in the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Advises junior architects and technologists Required qualifications, capabilities, and skills 7+ years of hands-on practical experience delivering data architecture and system designs, data engineer, testing, and operational stability Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e. g. , data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc. ) Practical cloud based data architecture and deployment experience, preferably AWS Practical SQL development experiences in cloud native relational databases, e. g. Snowflake, Athena, Postgres Ability to deliver various types of data models with multiple deployment targets, e. g. conceptual, logical and physical data models deployed as an operational vs. analytical data stores Advanced in one or more data engineering disciplines, e. g. streaming, ELT, event processing Ability to tackle design and functionality problems independently with little to no oversight Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state data architecture Preferred qualifications, capabilities, and skills Financial services experience, card and banking a big plus Practical experience in modern data processing technologies, e. g. , Kafka streaming, DBT, Spark, Airflow, etc. Practical experience in data mesh and/or data lake Practical experience in machine learning/AI with Python development a big plus Practical experience in graph and semantic technologies, e. g. RDF, LPG, Neo4j, Gremlin Knowledge of architecture assessments frameworks, e. g. Architecture Trade off Analysis
Posted 1 week ago
11.0 - 20.0 years
27 - 42 Lacs
New Delhi, Bengaluru, Mumbai (All Areas)
Work from Office
Responsibilities: Develop machine learning models using Python & PyTorch. Optimize data architecture for efficiency & accuracy. Collaborate with cross-functional teams on AI projects.
Posted 1 week ago
10.0 - 15.0 years
37 - 45 Lacs
Pune
Remote
What You'll Do We are seeking an experienced Senior AI & Machine Learning Manager to lead our dynamic team in developing cutting-edge AI & ML solutions. This role is perfect for someone passionate about leveraging AI and ML, inspire creativity, and create impactful products. You will be responsible for our Generative AI systems and how we apply them at Avalara to simplify and scale tax compliance across our entire portfolio of products. Major initiatives currently involve creating conversational agents. As an integral part of our leadership team, you will have the opportunity to shape the future of our AI & ML initiatives, manage a talented team of AI professionals, and collaborate with cross-functional teams to implement strategic projects. This role will report to Sr Director of AI & ML. What Your Responsibilities Will Be Lead and manage a team of AI&ML engineers, overseeing project lifecycles from conception to deployment, ensuring high-quality standards and timely delivery. Mentor and develop team members, providing guidance on technical challenges, career development, and professional growth opportunities. Stay abreast of the latest AI&ML technologies and methodologies, incorporating new and innovative approaches into our projects to maintain competitive advantage. Develop and execute our AI&ML strategy, aligning with the company's objectives, and ensuring the team's projects support this vision. Collaborate with cross-functional teams, including product management, engineering, and design, to define project requirements, set priorities, and allocate resources effectively. Ensure operational excellence, implementing best practices in project management, software development, and quality assurance to optimize team performance and productivity. Manage stakeholder communications, providing regular updates on project status, key milestones, and any challenges or risks, ensuring alignment and support across the organization. What You'll Need to be Successful Specific Qualifications: Proven expertise in Gen AI technologies and methodologies, with a strong portfolio of projects demonstrating your ability to apply these in solving complex problems. Experience with building and deploying to enterprise production environments APIs powered by AI & Machine Learning systems. Proficiency in programming languages relevant to AI & ML, such as Python, R, Java, Scala, C++ and familiarity with AI & ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with cloud computing platforms (AWS, Azure, Google Cloud) and understanding of how to leverage these for scalable, secure, reliable distributed systems with complex workflows relying on AI & ML solutions. Strong background in data engineering and familiarity with database technologies, as well as, data processing ETL pipelines and visualization tools. General Qualifications: Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related science field. A minimum of 10 years of experience in AI & ML with at least 5 years in a leadership or management position, overseeing technical teams. Excellent project management skills, with experience in agile methodologies.
Posted 1 week ago
2.0 - 7.0 years
5 - 7 Lacs
Dehradun, Jaipur, Delhi / NCR
Work from Office
ROLES & RESPONSIBILITIES: Classroom Teaching and Facilitation of foundational subjects of Full-Stack Development or Data Science Entitled for the delivery and facilitation of programs like B.Tech - Full-Stack Development, BCA - Full-Stack Development Curriculum Content Creation Coordinating & conducting Workshops/Masterclasses in Full-Stack Development, Python Programming, Data Science, IOT, and the other relevant subject matter Mentoring and preparing students for Internships and Placements Adhering to Partnered University Norms of Examination, Evaluation and other Important academic administration Mentoring students for live projects, assignments, personal guidance, and counseling. Extending offline personal support to students for feedback and doubt resolution Maintaining class records and other relevant academic data Final student assessment and evaluating final scores/credit score and relevant submissions the University Liaison with Academic Head and Dean of partnered University. MUST HAVES: Committed to Mission and Values - Has a clear understanding of mission and values. Has a passion for facilitating learning and for enabling students to navigate their own learning journey Ethics and Integrity - Demonstrates integrity, ethical behavior and practices in all aspects of the role including relationships with students, colleagues and external entities Communicates effectively - Adapts oral and written communication approach and style to the audience and based on the message also listens attentively to others Responsive - Provides timely and substantive feedback. Always responsive to students unique learning paths Persuades - Conveys a point of view or argument in a way that stimulates thought and motivates the student or colleague to take action or consider an alternative Collaborative - Works cooperatively with others across the institution and beyond, including the Laureate network, the community and through partnerships. Represents own interests while being inclusive and fair to others Situational Adaptability - Recognizes and adapts to situations that call for different approaches to the facilitation of learning, influencing, relationship building and leading Being Resilient - Maintains a focused and optimistic disposition under pressure. Learns and grows from hardship experiences•Accountable - Takes personal responsibility for own goals and outcomes to ensure student success. Establishes clear expectations, follows through on commitments to students and holds them accountable for assignments and performance. Action Oriented - Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm.
Posted 1 week ago
12.0 - 15.0 years
36 - 41 Lacs
Mumbai, Pune
Work from Office
Artificial Intelligence and Machine Learning Engineering – Associate Director, Corporate Technology
Posted 1 week ago
4.0 - 8.0 years
20 - 30 Lacs
Noida, Pune, Chennai
Hybrid
Looking for experienced Data Scientist Candidates. Job Description Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business Partnering on the design and implementation of statistical data quality procedures for existing and new data sources Communicating complex data science solutions, concepts, and analyses to team members and business leaders Presenting data insights & recommendations to key stakeholders Establishing links across existing data sources and finding new, interesting data correlations Ensuring testing and validation are components of all analytics solutions Skills : Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling Proficiency in programming languages such as Python and SQL for data analysis and model development. Working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition Hands-on experience with advanced AI techniques such as Retrieval-Augmented Generation (RAG), vector databases, and LLM integration for enhanced information retrieval and generation, GPT, and BERT Strong understanding of Machine Learning concepts including supervised and unsupervised learning, model training, evaluation, and deployment
Posted 1 week ago
9.0 - 14.0 years
15 - 25 Lacs
Hyderabad, Pune, Bengaluru
Hybrid
Role & responsibilities We are seeking a skilled Transformation Project Manager with demonstrated experience in leveraging AI technologies to drive business transformation initiatives. The ideal candidate will have hands-on involvement in integrating AI/ML and Generative AI solutions into existing business processes and platforms. This role requires strong business acumen, technology fluency, and the ability to translate innovative AI concepts into practical, value-driven use casesparticularly in areas like data monetization , customer intelligence , and operational efficiency . Location Pune/Bangalore/Hyderabad Experience - 9-15 Years Area – Looking from BFSI/Banking domain Notice period – Immediate/30-45 days Joiners Key Responsibilities: Lead and manage end-to-end delivery of digital transformation initiatives involving AI technologies and data platforms. Act as a bridge between business, data science, and technology teams to identify, validate, and implement AI-driven solutions. Conduct business analysis, requirements gathering, and impact assessment for AI/GenAI use cases. Define and prioritize AI-focused Proof of Concepts (POCs), pilots, and implementation roadmaps. Facilitate the integration of large language models (LLMs) and other AI tools into existing workflows and applications. Drive planning and execution of data monetization strategies , ensuring alignment with business goals. Ensure AI solutions adhere to regulatory, data privacy, and ethical guidelines. Communicate technical outcomes and insights to non-technical stakeholders and senior leadership. Preferred candidate profile Required Skills & Qualifications: 8+ years of experience in project management and/or business analysis roles within digital transformation or innovation functions. Strong understanding of AI/ML concepts , with practical experience in integrating AI into real-world use cases. Familiarity with Generative AI technologies (e.g., LLMs, NLP, automation frameworks). Experience in designing or supporting data monetization platforms , AI dashboards, or intelligent insights tools. Proven track record of delivering AI-enriched POCs and scalable solutions in a business context. Hands-on experience working with cross-functional teams including Data, Product, Technology, and Compliance. Excellent documentation, stakeholder management, and communication skills. Preferred: Domain expertise in banking, financial services , or fintech innovation.
Posted 1 week ago
10.0 - 15.0 years
70 - 100 Lacs
Chennai
Hybrid
**Key Responsibilities** People management - Lead a team of software engineers, DS, DE, MLE, in the design, development, and delivery of software solutions. Program management - Strong program leader that has run program management functions to efficiently deliver ML projects to production and manage its operations. Work with Business stakeholders & customers in the Retail Business domain to execute the product vision using the power of AI/ML. Scope out the business requirements by performing necessary data-driven statistical analysis. Set goals and, objectives using proper business metrics and constraints. Conduct exploratory analysis on large volumes of data, understand the statistical shape, and use the right visuals to drive & present the analysis. Analyse and extract relevant information from large amounts of data and derive useful insights on a big-data scale. Create labelling manuals and work with labellers to manage ground truth data and perform feature engineering as needed. Work with software engineering teams, data engineers and ML operations team (Data Labellers, Auditors) to deliver production systems with your deep learning models. Select the right model, train, validate, test, optimise neural net models and keep improving our image and text processing models. Architecturally optimize the deep learning models for efficient inference, reduce latency, improve throughput, reduce memory footprint without sacrificing model accuracy. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Create and enhance model monitoring system that could measure data distribution shifts, alert when model performance degrades in production. Streamline ML operations by envisioning human in the loop kind of workflows, collect necessary labels/audit information from these workflows/processes, that can feed into improved training and algorithm development process. Maintain multiple versions of the model and ensure the controlled release of models. Manage and mentor junior data scientists, providing guidance on best practices in data science methodologies and project execution. Lead cross-functional teams in the delivery of data-driven projects, ensuring alignment with business goals and timelines. Collaborate with stakeholders to define project objectives, deliverables, and timelines. **Skills required: ** MS/PhD from reputed institution with a delivery focus. 5+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Delivered AI/ML products/features to production. Seen the complete cycle from Scoping & analysis, Data Ops, Modelling, MLOps, Post deployment analysis. Experts in Supervised and Semi-Supervised learning techniques. Hands-on in ML Frameworks - Pytorch or TensorFlow. Hands-on in Deep learning models. Developed and fine-tuned Transformer based models. ( Input output metric, Sampling technique) Deep understanding of Transformers, GNN models and its related math & internals. Exhibit high coding standards and create production quality code with maximum efficiency. Hands-on in Data analysis & Data engineering skills involving Sqls, PySpark etc. Exposure to ML & Data services on the cloud AWS, Azure, GCP Understanding internals of compute hardware - CPU, GPU, TPU is a plus. Can leverage the power of hardware accel to optimize the model execution — PyTorch Glow, cuDNN, is a plus.
Posted 1 week ago
5.0 - 8.0 years
15 - 25 Lacs
Pune
Hybrid
So, what’s the role all about? We are seeking a skilled and experienced Developer with expertise in .net programming along with knowledge on LLM and AI to join our dynamic team. As a Contact Center Developer, you will be responsible for developing and maintaining contact center applications, with a specific focus on AI functionality. Your role will involve designing and implementing robust and scalable AI solutions, ensuring efficient agent experience. You will collaborate closely with cross-functional teams, including software developers, system architects, and managers, to deliver cutting-edge solutions that enhance our contact center experience. How will you make an impact? Develop, enhance, and maintain contact center applications with an emphasis on copilot functionality. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Perform system analysis, troubleshooting, and debugging to identify and resolve issues. Conduct regular performance monitoring and optimization of code to ensure optimal customer experiences. Maintain documentation, including technical specifications, system designs, and user manuals. Stay up to date with industry trends and emerging technologies in contact center, AI, LLM and .Net development and apply them to enhance our systems. Participate in code reviews and provide constructive feedback to ensure high-quality code standards. Deliver high quality, sustainable, maintainable code. Participate in reviewing design and code (pull requests) for other team members – again with a secure code focus. Work as a member of an agile team responsible for product development and delivery Adhere to agile development principles while following and improving all aspects of the scrum process. Follow established department procedures, policies, and processes. Adheres to the company Code of Ethics and CXone policies and procedures. Excellent English and experience in working in international teams are required. Have you got what it takes? BS or MS in Computer Science or related degree 5-8 years’ experience in software development. Strong knowledge of working and developing Microservices. Design, develop, and maintain scalable .NET applications specifically tailored for contact center copilot solutions using LLM technologies. Good understanding of .Net and design patterns and experience in implementing the same Experience in developing with REST API Integrate various components including LLM tools, APIs, and third-party services within the .NET framework to enhance functionality and performance. Implement efficient database structures and queries (SQL/NoSQL) to support high-volume data processing and real-time decision-making capabilities. Utilize Redis for caching frequently accessed data and optimizing query performance, ensuring scalable and responsive application behavior. Identify and resolve performance bottlenecks through code refactoring, query optimization, and system architecture improvements. Conduct thorough unit testing and debugging of applications to ensure reliability, scalability, and compliance with specified requirements. Utilize Git or similar version control systems to manage source code and coordinate with team members on collaborative projects. Experience with Docker/Kubernetes is a must. Experience with cloud service provider - Amazon Web Services (AWS) is must. Experience with AWS Could on any technology (preferred are Kafka, EKS, Kubernetes) Experience with Continuous Integration workflow and tooling. Stay updated with industry trends, emerging technologies, and best practices in .NET development and LLM applications to drive innovation and efficiency within the team. You will have an advantage if you also have: Strong communication skills Experience with cloud service provider like Amazon Web Services (AWS), Google Cloud Engine, Azure or equivalent Cloud provider is a must. Experience with ReactJS. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7443 Reporting into: Sandip Bhattcharjee Role Type: Individual Contributor
Posted 1 week ago
8.0 - 10.0 years
10 - 12 Lacs
Bengaluru
Work from Office
Job Title - S&CGN - Tech Strategy & Advisory - Data on Cloud - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7A Must-have skills: Data Architecture Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency. Practice Overview: Skill/Operating Group Technology Consulting Level Consultant Location Gurgaon/Mumbai/Bangalore/Pune/Hyderabad/Chennai/Kolkata Travel Percentage Expected Travel could be anywhere between 0-100% Why Technology Consulting The Technology Consulting business within Capability Network invents the future for clients by providing them with the right guidance, design thinking and innovative solutions for technological transformation. As technology rapidly evolves, its more important than ever to have an innovation advisor who can create a new vision or put one into place to solve the clients toughest business problems. Specialize in management or technology consulting to transform the world's leading organizations by building innovative business solutions as their trusted advisor by: Helping Clients :Rethinking IT and Digital ecosystems and innovating to help clients keep pace with fast-changing, customer-driven environments. Enhancing your Skillset: Building expertise and innovating with leading-edge technologies such as Blockchain, Artificial Intelligence and Cloud. Transforming Businesses :Developing customized, next-generation products and services that help clients shift to new business models designed for today's connectedlandscape of disruptive technologies Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Identifying, assessing, and solvingcomplex business problemsfor area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies. Driving enterprise business, application, and integration architecture Helping solve key business problems and challenges by enabling an architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Lead business development activities and assist the team to achieve sales targets Experience in participating in client presentations & orals for proposal defense etc. Implementing programs/interventions that prepare the organization for implementation of new business processes Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in effectively communicating the target state, architecture & topology on cloud to clients Deep understanding of Data and Analytics platforms, data integration w/ cloud and industry best practices in data governance and management Provide thought leadership to the downstream teams for developing offerings and assets Mentoring and developing our people Professional & Technical Skills: - Relevant experience in the required domain.- Strong analytical, problem-solving, and communication skills.- Ability to work in a fast-paced, dynamic environment. Experience: We are looking for experienced professionals with information strategy, data architecture, data modernization, data governance, data management, data operating model and data security experience across all stages of the innovation spectrum, with a remit to build the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes - Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. Data on Cloud Architect - Technical understanding of data platform strategy for data on cloud migrations, big data technologies, experience in architecting large scale data lake and DW on cloud solutions. Experience one or more technologies in this space:AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera Data Strategy - Data Capability Maturity Assessment, Data & Analytics / AI Strategy, Data Operating Model & Governance, Data Hub Enablement, Data on Cloud Strategy, Data Architecture Strategy Data Transformation Lead - Understanding of data supply chain and data platforms on cloud, experience in conducting alignment workshops, building value realization framework for data transformations, program management experience MDM / DQ/ DG Architect - Data Governance & Management SME for areas including Data Quality, MDM, Metadata, data lineage, data catalog. Experience one or more technologies in this space:Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation etc. Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. Qualification Experience: 8-10Years Educational Qualification: Any Degree
Posted 1 week ago
6.0 - 11.0 years
14 - 24 Lacs
Pune
Remote
Experience: Experience with Selenium (Java testing) / Playwright (UI Testing) Experience with Cucumber & Rest Assured / SOAP Basic experience in CI/CD tools & AI/ML Preferred Notice Period - 0 - 45 Days Roles and Responsibilities Participate in Agile development cycles by providing timely feedback on testing progress and identifying areas for improvement. Develop and maintain automation frameworks using Selenium WebDriver, Playwright Automation, Rest Assured, SOAP UI, and other tools. Collaborate with cross-functional teams to identify requirements and create test plans that meet business needs. Design, develop, and execute automated tests using Cucumber BDD framework to ensure high-quality software releases.
Posted 1 week ago
10.0 - 15.0 years
22 - 37 Lacs
Bengaluru
Work from Office
Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Responsibilities: Lead the development and implementation of AI/ML, Generative AI and LLM projects, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications. Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses. Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Minimum of 5 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail, Manufacturing) to quickly understand requirements and develop solutions. Graduate/Postgraduate in computer science, computer engineering, or equivalent with minimum of 10 years of experience in the IT industry. Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques. Experience using LLM models on cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI). Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions. Strong knowledge in programming, specifically in Python / R. Be well equipped to understand machine learning algorithms and be versatile enough to implement them in pure NumPy, TensorFlow or PyTorch as required Good understand of Mathematics Fundamentals like Statistics, Probability, Linear Algebra, and Calculus Experience in Data mining and providing data insights using visualization Knowledge in MySQL or NoSQL Databases will be added advantage Preferred Technical And Professional Experience Certification in one or more of the hyperscale's (Azure, AWS, Google Cloud Platform) Open Certified Data Scientist (Open CDS) – L2/L3 Familiarity with Agentic AI frameworks Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
Posted 1 week ago
2.0 - 7.0 years
0 - 3 Lacs
Kolkata
Work from Office
Role & responsibilities Design, prepare and deliver lectures and hands-on training sessions on: Python programming Machine Learning Data Analytics Deep Learning Statistics and Probability Tools like NumPy, Pandas, Scikit-learn, Matplotlib, Jupyter, etc. Develop and update curriculum, course content, and learning materials. Conduct assessments, evaluate student performance, and provide constructive feedback. Mentor students on academic and project work. Stay current with the latest developments in the field and incorporate new tools and technologies. Conduct workshops, seminars, and guest lectures to enhance learning outcomes. Collaborate with academic and administrative teams to ensure effective course delivery. Required skills: Bachelor's/Masters degree Strong proficiency in Python and data analysis libraries. Hands-on experience with machine learning algorithms and frameworks. Good understanding of statistical techniques and data visualization. Prior teaching/training experience preferred. Excellent communication and presentation skills. Ability to simplify complex topics for beginner to advanced learners.
Posted 1 week ago
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India has seen a rapid growth in the field of artificial intelligence in recent years, with companies across various sectors actively seeking professionals with expertise in AI. Job seekers in India have a plethora of opportunities in this dynamic and evolving field.
The salary range for artificial intelligence professionals in India varies based on experience and skill level. Entry-level positions can expect to earn around INR 6-8 lakhs per annum, while experienced professionals with specialized skills can earn upwards of INR 20 lakhs per annum.
Typically, a career in artificial intelligence progresses from roles such as Junior AI Developer or Data Scientist to Senior AI Developer, AI Architect, and eventually AI Team Lead. As professionals gain experience and expertise, they may also move into roles focusing on AI research and innovation.
In addition to expertise in artificial intelligence, professionals in this field are often expected to have knowledge in areas such as machine learning, deep learning, natural language processing, and data analytics. Strong programming skills in languages like Python and R are also valuable.
As the demand for artificial intelligence professionals continues to rise in India, job seekers should focus on honing their skills, gaining practical experience, and staying updated with the latest trends in the field. By preparing thoroughly and approaching interviews with confidence, individuals can seize exciting opportunities in the thriving AI job market in India.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
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