6 Stepfunctions Jobs

As an AI/Machine Learning Engineer at our organization, you will play a key role in developing innovative solutions using machine learning technology to drive business success. Working closely with a diverse team of data scientists, software engineers, and product managers, you will be responsible for designing, developing, and maintaining robust machine learning models and workflows. Your focus will be on transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to enhance user experiences and functionality. Your primary responsibilities will include creating end-to-end workflows for training and inference pipelines of machine learning models, designing and implementing multi-step workflows using Python and frameworks like LangChain and LangGraph, building and optimizing RAG pipelines using vector stores such as FAISS and AWS OpenSearch, processing and analyzing time series data using libraries like Pandas and NumPy, and collaborating with other developers to deploy and maintain applications across different platforms. To be successful in this role, you should have a Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, along with at least 3 years of experience as a Machine Learning Engineer or AI Developer. Proficiency in Python programming and familiarity with libraries such as scikit-learn, Numpy, Pandas, TensorFlow, and PyTorch is essential. Additionally, you should have experience with building APIs, integrating third-party libraries, and working with AWS or Azure services. Your strong problem-solving skills, ability to work under pressure, and excellent communication abilities will be crucial in engaging with various collaborators and delivering high-quality solutions. You should also be comfortable switching between different projects as needed and have experience with backend integrations and deploying AI/ML models in production environments. Join our central Digital Products and Solutions team at Siemens Energy, where we are dedicated to developing software solutions for internal and external customers. As part of a global team committed to sustainability, innovation, and energy transformation, you can make a real impact and contribute to our mission of creating sustainable, reliable, and affordable energy solutions for a better future. Siemens Energy values diversity and inclusion, celebrating individual differences and fostering a culture of creativity and collaboration. By joining our team, you will have the opportunity to work remotely, collaborate with a distributed team, lead innovative projects, enjoy medical benefits, paid holidays, parental leave, and access continual learning opportunities through the Learn@Siemens-Energy platform. Discover how you can be part of our exciting journey at Siemens Energy and contribute to shaping the future of energy technology.,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. We are a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world, driving us beyond generational gaps and disruptions of the future. We are currently seeking ABAP Odata Services Professionals with the following qualifications: - Mandatory knowledge of OO ABAP, Odata Services, CDS Views, and Debugging tools. - Experience with RAP, ABAP on Cloud, and BTP services is desired. - Familiarity with SAP Integration Suite/PI PO is an advantage. - Knowledge of AWS Services like Lambda, SQS, StepFunctions, and EventBridge is a plus. - Good team player with a great attitude and excellent communication skills. At YASH, you will be empowered to create a career that will take you where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles: - Flexible work arrangements, free spirit, and emotional positivity. - Agile self-determination, trust, transparency, and open collaboration. - All support needed for the realization of business goals. - Stable employment with a great atmosphere and ethical corporate culture.,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, you will be part of a team of bright individuals working with cutting-edge technologies. Our purpose is centered around making real positive changes in an increasingly virtual world, transcending generational gaps and future disruptions. We are currently seeking ABAP Odata Services Professionals with the following qualifications: - Mandatory knowledge of OO ABAP, Odata Services, CDS Views, and Debugging tools. - Experience with RAP, ABAP on Cloud, and BTP services is desired. - Familiarity with SAP Integration Suite/PI PO is an advantage. - Knowledge of AWS Services like Lambda, SQS, StepFunctions, and EventBridge is a plus. - Being a good team player, possessing a great attitude, and excellent communication skills with a collaborative spirit are essential. YASH provides an inclusive team environment where you are empowered to shape your career path. We offer career-oriented skilling models and leverage technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our workplace culture is built on four core principles: - Flexible work arrangements, free spirit, and emotional positivity. - Agile self-determination, trust, transparency, and open collaboration. - Full support for achieving business goals. - Stable employment with a great atmosphere and ethical corporate culture.,

As an Applied AI ML Lead at JPMorgan Chase within the Commercial & Investment Bank's Global Bank Technology team, you will play a crucial role in an agile team dedicated to enhancing, building, and delivering cutting-edge technology products. Your primary responsibility will be to lead the development and deployment of groundbreaking GenAI applications like search tools, chatbots, and AI agents to address intricate challenges in the financial services sector. Your key responsibilities will include overseeing the entire lifecycle of GenAI-powered applications, utilizing your expertise in AI, NLP, LLM, and deep learning to drive business improvements, and designing enterprise-level solutions on cloud platforms such as AWS/Azure. You will be instrumental in the development, testing, deployment, and monitoring of cloud-based applications, implementing innovative software solutions, and ensuring operational stability. Your role will also involve contributing to engineering communities, promoting a culture of innovation, diversity, and inclusion, and participating in SRE/Production support activities. To excel in this role, you should have formal training in software engineering with over 12 years of technical experience, a strong command of system design, application development, and operational support, as well as deep expertise in Python, microservices architecture, and AWS services. Proficiency in SQL, relational databases, CI/CD practices, and LLM/GenAI concepts is essential. Additionally, familiarity with SDLC, application resiliency, and security best practices will be beneficial. Preferred qualifications for this position include experience with Jupiter model training environment, back-end technologies, containerization, and modern cloud technologies. A strong passion for AI/ML-driven solutions, coupled with deep technical expertise, will be highly advantageous in this role. Join us at JPMorgan Chase to be at the forefront of innovation in the banking and financial services industry.,

Lead is responsible to oversee the migration and modernization of the customer s platform and database services from Google Cloud Platform (GCP) to Amazon Web Services (AWS) Lead should provide technical guidance and mentorship to the data engineering team Design a robust AWS architecture for the database services, utilizing services such as Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon Athena and Amazon DynamoDB Implement migration strategies and modernization processes, ensuring compatibility, performance, and adherence to best practices Collaborate closely with application and infrastructure teams to facilitate seamless integration of database services Identifies and implements opportunities for optimization and performance improvements during the migration Ensure compliance with data security, governance, and regulatory requirements during the migration Must have skills: Proven experience in cloud migration and modernization projects, with a strong understanding of AWS and GCP services. Strong understanding of cloud architecture principles and best practices Experience with data migration tools and strategies for AWS Understanding of AWS services such as S3, Redshift, RDS, and Data Pipeline. Skills in designing data models for both GCP and AWS environments. Proficiency in ETL (Extract, Transform, Load) processes and tools, including AWS Glue and Apache Beam. Knowledge of both SQL and NoSQL databases Proficient in scripting and automation tools using Python, Bash, or similar languages to automate data transfer and to streamline migration processes Strong ability to work effectively with cross-functional teams Proficient in documenting migration processes and providing training/support to stakeholders Experience in project planning, including defining timelines, milestones, and deliverables Skilled in scoping, planning, and executing data-related projects while adhering to timelines and budgets Ability to convey data requirements and migration benefits to non-technical stakeholders Strong documentation skills for creating architectural documents and communicating complex concepts to non-technical stakeholders Certifications : For Lead Architects at least 2 Professional or Specialty level AWS certification For Associate Architects at least 1 Professional or Specialty level AWS Certification For Senior Data Engineers at least 1 Associate level AWS certification Good to have skills: Certifications: Relevant AWS Certifications (e. g. , AWS Certified Solutions Architect) are advantageous Knowledge of big data technologies like Hadoop, Spark and Kafka for handling large datasets

As a Senior Client Solutions Partner you will be a part of the core sales and GTM team of Quantiphi and you will be responsible for execution of end-to-end sales processes in a B2B environment. Prepare and deliver technical presentations explaining products or services to customers and prospective customers Managing customer communication & relationships. Engage & drive end-to-end pre-sales activities for business development for the company in the Data analytics. Ability to identify & prospect full range - Proficient in developing business collaterals based on latest developments in Data modernization to showcase the potential of data for the enterprise. Experience in handling or being hands-on for data modernization projects. Work in conjunction with the Solution Architects & Data Engineering teams together, analyze and prospect business problems to be solved using large volumes of quantitative and qualitative data and develop of point of view to build a solution for the problems. Applying the right analysis frameworks to develop creative solutions to complex business problems. Planning and executing both short-term and long-range projects and manage teamwork, and client expectations. Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions. Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers. Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments and manage the technical relationship with Google s customers. Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud. This includes understanding, analyzing and prospecting complex business problems to be solved using Data solutions & AI Applications in a variety of industries including Healthcare, Media, BFSI, CPG, Retail, and many others. Travel to customer sites, conferences, and other related events as required. Responsibilities: You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred. Strong team player. Degree in Business (MBA), Computer Science Engineering. Good communication , abstraction , analytical and presentation skills. Experience of B2B sales , customer communication and relationship mangement Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal writing and presentation. Data driven mindset. Your plans and actions are backed by not just gut feeling but also customer/industry/market research. Knowledge and willingness to learn and apply emerging trends in business research, data engineering, Cloud. Excellent aptitude in business analysis and awareness of quantitative analysis techniques. Excellent communication (both written & verbal) & articulation skills (Mandatory). Strong team player and ability to collaborate with a cross functional team. Experience with sales reporting. Self-driven and strong aptitude to work in an entrepreneurial , fast-paced environment with minimal supervision and a passion for developing new value-added data based solutions for clients across a variety of industries.