889 Aiml Jobs - Page 12

As a Tech Recruitment Specialist, you will play a crucial role in assisting diverse clients in building their exceptional technical teams specializing in areas such as Data Science, Cloud, AI/ML, Blockchain, Digital, Product Engineering, and Embedded Technologies. Your primary responsibilities will include managing client relationships, understanding their requirements, and ensuring high-quality and timely delivery to exceed customer expectations. You should leverage your extensive industry network to source profiles through unconventional recruitment channels. To excel in this role, you must possess a deep understanding of the latest technology hiring trends and demonstrate a successful track record in overseeing the complete recruiting lifecycle. This involves developing client relationships, establishing a candidate pipeline, and effectively managing the end-to-end recruitment process using various job portals. Your proficiency in tracking key recruitment metrics, coupled with strong analytical, reporting, and presentation abilities, will be instrumental in your success. We are looking for a self-motivated individual with a passion for surpassing quality benchmarks and a proactive approach to tasks. Exceptional interpersonal, verbal, and written communication skills are essential for engaging with clients, candidates, and stakeholders effectively. If you are someone who thrives in a dynamic and fast-paced environment and is dedicated to delivering outstanding recruitment solutions, we invite you to join our team and make a significant impact in the tech recruitment domain.,

You will be joining our team as an experienced UVM and GenAI Engineer, focusing on developing innovative solutions using Generative AI to automatically generate testbenches for complex digital designs. Your responsibilities will include collaborating with design and verification teams, implementing Generative AI algorithms, designing UVM-based testbenches, and integrating AI-generated testbenches into the verification flow. You will also be required to stay updated with the latest developments in UVM, GenAI, and digital design verification, participate in code reviews, and contribute to enhancing the team's verification methodologies. To qualify for this role, you should hold a Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field, along with at least 6 years of experience in digital design verification with a focus on UVM-based testbenches. Proficiency in UVM, SystemVerilog, digital design principles, AI/ML frameworks, programming languages like Python, C++, and systemVerilog, as well as experience with version control systems like Git, are essential. Strong problem-solving skills and the ability to work both independently and collaboratively are also key requirements. It would be advantageous if you have experience with Generative AI algorithms, digital design languages such as VHDL or Verilog, cloud-based AI platforms like AWS SageMaker or Google Cloud AI Platform, and Agile development methodologies. In return, we offer a competitive salary and benefits package, the opportunity to work on cutting-edge AI technology and digital design verification, a collaborative work environment, professional development opportunities, and flexible working hours with remote work options. If you are a motivated individual with a passion for UVM, GenAI, and digital design verification, we encourage you to submit your resume and a cover letter detailing why you are the perfect fit for this role.,

Job Description Are you ready to make an impact at DTCC Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. Comprehensive health and life insurance and well-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The Impact You Will Have In This Role Being a member of the Enterprise Data Team you will be part of the leadership team in establishing, maturing, and driving the implementation of industry-leading data management practices. The ideal candidate for this position is a self-starter with a strong ability to prioritize, own and drive projects, and quickly learn new concepts and frameworks. Success in this role demands the ability to work in a fast-paced environment and adapt to shifting priorities. Your Primary Responsibilities Leadership Responsibilities Lead the team of Data Steward Analysts and Business Analysts located in the offshore location, including day-to-day staff management Act as point of contact for the offshore data analyst team and liaise regularly with onshore management, and communicate any key updates from the offshore location Produce periodic reports on offshore team activity to management Help with recruiting for open positions in the offshore location, onboarding and training of new hires Data Stewardship & Analysis Responsibilities Work with Product owners and other stakeholders to understand and scope data management deliverables and translate those into user stories for data management team. Independently lead multiple projects through the lifecycle of engagement, execution and closing Collaborate across groups to elicit business requirements, develop and document project plans, identify resource requirements, and estimate effort for assigned projects Lead the team participation in preliminary data analysis for new projects: resolve whether required data exists within DTCC; identify and detail authoritative sources for existing data; define onboarding plans for new data Collaborate with business and operational partners to comprehensively analyze data in order to produce business data element names, document clear and accurate data element descriptions, and identify valid values for the data Lead the collaborative efforts with the data modelers in producing conceptual and logical data models, including entity and attribute names and definitions Utilize the enterprise metadata repository to input and handle required metadata for critical and prioritized data elements in support of initiatives and enterprise-wide data efforts. Lead data quality through data profiling, defining and detailing data quality and data validation rules, performing root cause analysis for identified data quality issues, and leading the data cleansing efforts to ensure that data is fit for its intended use Identify program scaling opportunities and propose both process and tool related scaling solutions; Create business requirements for scaling solutions and work with appropriate stakeholder teams to create execution roadmaps, and track and report progress. Define, track, and report on key metrics for identified use cases Provide analytical and reporting capabilities to support decision making by the business partners Craft and deliver clear and concise high quality presentations to partners and leadership that provide the appropriate level of detail for the intended audience Participate substantially as a key member of several agile squads, as defined by the Data Management CoE ways of working Mitigate risk by following established procedures and monitoring controls, spotting key errors, and demonstrating strong ethical behavior Leadership Competencies Inclusive Leadership: Values individuals and embraces diversity by integrating differences and promoting diversity and inclusion across teams and functions. Coaching: Understands and anticipates people's needs, skills, and abilities, in order to coach, motivate and empower them for success. Feedback: Seeks feedback from others, provides feedback to others in support of their development, and is open and honest while dealing constructively with criticism. Delegating: Effectively manages tasks and people, taking a practical approach to determine the most effective method of execution while respecting others expertise and considering others feelings and working styles. Qualifications Minimum 7 years of related experience Bachelor's degree (preferred) or equivalent experience Talents Needed For Success Deep expertise in the latest innovation, technology and solutions with regards to data Deep understanding of data management processes and standard methodologies Familiarity with analytical tools and statistical methods required for AI/ML Self-starter with a solid ability to prioritize, own and drive projects, and quickly learn new concepts and frameworks Excellent writing written and verbal communication skills Excellent analytical and quantitative skills Technical Skills such as ability to profile data using SQL queries; basic understanding of Logical Data Modeling and Database design is a plus Familiarity with business architecture frameworks and concepts highly desirable Experience in banking, capital markets, or financial operations preferred Expertise in connecting different data domains and its impact on the investment process Prior experience working with technology, business teams and operating model changes Exhibits strong understanding of Agile Software Development (primarily Scrum and Kanban) principles and techniques. Understands and uses applicable work management tools (i.e. JIRA) for decision making and collaboration Drives creative and solution-oriented activity with all participants and collaborators About Us DTCC safeguards the financial markets and helps them run efficiently, in times of prosperity and crisis. We are uniquely positioned at the center of global trading activity, processing over 100 million financial transactions every day, pioneering industry-wide, post-trade solutions and maintaining multiple data and operating centers worldwide. From where we stand, we can anticipate the industrys needs and were working to continually improve the worlds most resilient, secure and efficient market infrastructure. Our employees are driven to deliver innovative technologies that improve efficiency, lower cost and bring stability and certainty to the post-trade lifecycle. DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, youll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. Its the chance to make a difference at a company thats truly one of a kind. Learn more about Clearance and Settlement by clicking here . About The Team Enterprise Services comprises of multiple business platforms including Client Services, Global Business Operations, Business Architecture, Data Strategy and Analytics, and Digital Services, which report into the Chief of Enterprise Services. These grouped platforms enable the business to optimize delivery for clients, generate efficiencies and resilience, and enable consistency in the business digitization strategy, processes and end-to-end best practices.,

Sales , BDM (Information Technolgy) Only people with IT Sales Should Apply. Job Title: Sales & Bus Dev Manager - Big Data Services Delhi /NCR Job Summary: Looking for a seasoned sales expert with a proven track record of selling Big Data services into enterprises. Sales expert will help match our technical skills with the requirements of the customers, set up assessment meetings and help with closing the sales. Key Responsibilities: 1. Sales Execution: Develop and implement a strategic sales plan focused on expertise in BI, Data Analytics, Data Engineering and AI/ML. Prepare realistic revenue plans and deliver on the committed revenue numbers. 2. Domain Knowledge: Understanding of Big Data tools and being able to match it with the requirements of the customers. 3. Prospecting: Identify and target organizations in need of advanced Big Data and AI/ML solutions, with a focus on workload and AI/ML pipelines. 4. Solution Presentation: Effectively communicate the unique value proposition of our services, including use of self-developed tools to provide best outcome. 5. Client Engagement: Build and nurture strong relationships with key decision-makers within client organizations who are looking to harness Big Data and AI/ML technologies. 6. Proposal Development: Prepare tailored proposals that showcase how our specialized services can address each client's specific needs. 7. Negotiation and Closing: Skilfully negotiate contracts, pricing, and terms to successfully close deals. 8. Account Management: Continuously engage with existing clients to identify opportunities for upselling and cross-selling specialized solutions. 9. Sales Reporting: Maintain accurate records of sales activities, pipeline, and forecasts using CRM tools. 10. Building and growing sales team: As the sales proliferate, sales expert will help in recruiting and building sales team Qualification - Bachelors degree in engineering, sales, or a related field (Master's degree preferred). - A proven track record of at least 5-7 years in selling services for Big Data, BI, Data Analytics, AI/ML - Good knowledge of Big Data, BI, Data Analytics tools (Power BI, Azure Synapse, AWS EMR, Spark, Hadoop etc.) - Exceptional communication, negotiation, and presentation skills - Ability to work independently and collaboratively as part of a team - Experience of selling services in at least two of North America, EMEA, APAC, India - Representing in developer/user conferences and visiting customers (globally) Please Write in CTC ECTC NP with CV to alsvidindia@gmail.com 08355934128,

We have an exciting opportunity for an ETL Data Architect position with an AI-ML driven SaaS Solution Product Company in Hyderabad. As an ETL Data Architect, you will play a crucial role in designing and implementing a robust Data Access Layer to provide consistent data access needs to the underlying heterogeneous storage layer. You will also be responsible for developing and enforcing data governance policies to ensure data security, quality, and compliance across all systems. In this role, you will lead the architecture and design of data solutions that leverage the latest tech stack and AWS cloud services. Collaboration with product managers, tech leads, and cross-functional teams will be essential to align data strategy with business objectives. Additionally, you will oversee data performance optimization, scalability, and reliability of data systems while guiding and mentoring team members on data architecture, design, and problem-solving. The ideal candidate should have at least 10 years of experience in data-related roles, with a minimum of 5 years in a senior leadership position overseeing data architecture and infrastructure. A deep background in designing and implementing enterprise-level data infrastructure, preferably in a SaaS environment, is required. Extensive knowledge of data architecture principles, data governance frameworks, security protocols, and performance optimization techniques is essential. Hands-on experience with AWS services such as RDS, Redshift, S3, Glue, Document DB, as well as other services like MongoDB, Snowflake, etc., is highly desirable. Familiarity with big data technologies (e.g., Hadoop, Spark) and modern data warehousing solutions is a plus. Proficiency in at least one programming language (e.g., Node.js, Java, Golang, Python) is a must. Excellent communication skills are crucial in this role, with the ability to translate complex technical concepts to non-technical stakeholders. Proven leadership experience, including team management and cross-functional collaboration, is also required. A Bachelor's degree in computer science, Information Systems, or related field is necessary, with a Master's degree being preferred. Preferred qualifications include experience with Generative AI and Large Language Models (LLMs) and their applications in data solutions, as well as familiarity with financial back-office operations and the FinTech domain. Stay updated on emerging trends in data technology, particularly in AI/ML applications for finance. Industry: IT Services and IT Consulting,

Job Summary The Senior Manager Data Science will be responsible for building and scaling Netsmarts data science capabilities. You will lead the development and deployment of advanced analytics, AI/ML models, and predictive tools to support decision-making across product, clinical, and operational domains. This is a strategic and hands-on leadership role for someone who thrives in both managing teams and shaping technical direction. Key Responsibilities: Provide cross-functional technical leadership, coaching and guidance to leaders across the software development organization. Maximize the capability and capacity of resources to deliver high quality solutions on time and within scope. Accountable for establishing and managing financial budgets Run the business based on operational metrics and status. This includes but is not limited to queue churn, trending, resource utilization, risk assessment and mitigation, project initiatives, and department related data elements Make timely and effective decisions to ensure the team is prepared to deliver solutions on a strategic roadmap not just for the short-term Lead cross-functional change initiatives and develop strategies to support change in engineering processes and strategy Accountable for ensuring the capability and capacity of the team to advance and leverage the latest in programming languages, industry standards and software development methodologies. • Become a trusted advisor for executive leaders across the company. This position may require availability outside of standard business hours as part of a rotational on-call schedule Required Skills: At least 10+ years of professional experience in data science, machine learning, or applied analytics roles. At least 5 years of large, complex project management experience At least 4 years of leading a team of technical staff At least 4 years of experience with full lifecycle development and using Agile methods Deep understanding of statistical modeling, machine learning algorithms, and real-world data applications. Hands-on experience with data science frameworks and cloud platforms (AWS, Azure, GCP). Preferred Skills: • Experience designing, building and operating secure, scalable and highly available web and mobile applications, large-scale distributed systems using service-oriented architecture and message queue architecture in the cloud • Understanding of cloud-based SaaS architectures – involves designing elastic solutions, distributed state, availability, scalability, etc. • Adept in Object Oriented Design • Experience in healthcare, life sciences, or human services domains. • Familiarity with data governance, privacy, HIPAA, or FHIR standards. • Experience in building ML platforms or MLOps workflows. • Strong business acumen with the ability to link data insights to actionable outcomes.

Experience in AI/ ML, Microsoft Power Platform, Python, SQL, Technical Project Mgmt., Implementation and Architecture designing Email id- ta6@nippondata.com

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

ML Scientist Experience: 2 - 6 Years Exp Salary : Competitive Preferred Notice Period : Within 15 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Multimodal llms , vision-language models , Agentic AI Infibeam (One of Uplers' Clients) is Looking for: ML Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We're hiring ML Scientists at Phronetic AI (a division of Infibeam Avenues Limited) to shape the future of multimodal reasoning and agentic AI with a strong focus on building compact, efficient models that can run on edge or on-prem environments. We're looking for 23 exceptional candidates across experience levels: 25 years: You have experience taking ideas from concept to working prototypes or products in multimodal or LLM-driven systems. You're comfortable experimenting with training strategies, model architectures, and evaluation pipelines to push model reasoning capabilities forward. 5+ years: You bring deep technical expertise and are excited to mentor junior team members, guide architectural decisions, and help shape the direction of our multimodal model research and deployment efforts. What we’re building: Models that understand and reason across text, images, video, and structured documents. Systems that go beyond perception — toward agentic, grounded, real-world intelligence Smaller, instruction-tuned models for efficient edge/on-prem inference A team culture focused on technical depth, fast iteration, and open research Let’s build intelligent, efficient, and grounded systems — together. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Infibeam Avenues Limited (IAL) is a leading digital payments and e-commerce technology platforms company in India and provides a comprehensive suite of web services spanning digital payment solutions, data centre infrastructure and software platforms. We provide solutions to merchants, enterprises, corporations and governments in both domestic as well as international markets to enable online commerce. Our digital technology facilitates businesses and governments to execute e-commerce transactions in a safe and secure manner. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

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.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: You will be part of Automotive System Performance team that is responsible for profiling and optimizing the System Performance on Snapdragon Automotive chipsets. Responsibilities include: Drive Performance analysis on silicon using various System and Cores (i.e. CPU, GPU, Memory and AI/ML) benchmarks like Dhrystone, Antutu, GeekBench, GFXBench, SPECInt, ResNet50 etc. Use of Performance tools to analyze the load patterns across IPs and identify any performance bottlenecks in system. Analyzing Performance KPIs of Auto SoC subsystems like CPU, GPU, NSP, Memory, Camera, Display, Video and corelate performance with projection Evaluate and characterize performance at various junction temperatures and optimize running at high ambient temperatures. Analyze and optimize the System performance parameters of SoC infrastructure like NoC, LP5 DDR, etc. Collaborate with cross-functional global teams to plan and execute performance activities on Auto chipsets as well make recommendations for next generation chipsets. Minimum Qualifications 7+ years of industry experience in the following: Experience working on any ARM/x86 based platforms, mobile/automotive operating systems and/or performance profiling tools. Experience in application or driver development in Linux\QNX and ability to create/customize make files with various compiler options is a plus. Must be quick learner and should be able to adapt to new technologies. Must have excellent communication skills. Preferred Qualifications Additional skills in the following areas are preferred: Knowledge of Computer architecture, LP5 DDR, Bus/NOC profiling is a big plus. Fundamentals on any Automotive operating system like AGL/QNX/Hypervisor & experience working on any Automotive applications. Basic Knowledge on any multimedia frameworks like OpenGL/ES, OpenMax and OpenCL is plus. Experience in creating professional quality reports and slides using MSOffice or any advanced visualization tools. Experience in PoC development and competitive analysis Knowledge on Voltage/Power/ Thermal domain is plus. Education RequiredBachelor's, Computer Engineering and/or Computer Science and/or Electrical EngineeringPreferredMaster's, Computer Engineering and/or Computer Science and/or Electrical Engineering Keywords Architecture Performance, System Performance, Automotive Performance, Benchmarks, Thermal Performance, UX optimization, QNX, Hypervisor, Application Development Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Role & responsibilities Experience: 0-1 year Location - Bengaluru Mode of work - Work from office Mode of interview - Face to Face We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. As an early-career team member, you will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. This role is ideal for someone who has recently completed academic or personal projects and is eager to apply their knowledge to real-world use cases. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dynamic AI pipelines for tasks like summarization, Q&A, sentiment analysis, and more. Collaborate with the AI/ML team to design and deploy prototypes and PoCs. Write clean, modular Python code and maintain version control via Git/GitHub. Document projects clearly and effectively for internal and external stakeholders. Required Skills Solid understanding of Machine Learning, Deep Learning fundamentals, and model evaluation. Experience with Generative AI projects (transformers, text generation, prompt engineering, etc.). Familiarity with frameworks like LangChain, LangGraph, PhiData. Proficient in Python, along with common ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn). Good understanding of LLM APIs (OpenAI, Anthropic, Cohere, etc.). Strong problem-solving ability and communication skills. Active GitHub profile showcasing relevant projects is mandatory Good to Have Knowledge of REST APIs, basic backend frameworks like Flask or FastAPI. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Basic understanding of RAG (Retrieval-Augmented Generation) pipelines. Knowledge of prompt chaining and tool-calling via LLM agents. Knowledge on web application development

We are Hiring Python Developer. Job Location - Shivajinagar , Pune Role Summary- We are seeking a skilled and motivated Python Engineer (AI & Automation) with 34 years of experience to help drive our AI and intelligent automation initiatives. This role combines core Python development with hands-on implementation of AI-powered solutions and workflow automation. The ideal candidate will have a passion for working on innovative projects, experimenting with large language models (LLMs), and building intelligent business workflows that create tangible impact. Key Responsibilities Develop and maintain Python scripts, modules, and backend logic to support AI, data, and automation projects. Design and build data processing pipelines for cleaning, transforming, and preparing structured and unstructured data. Support the development of AI-powered business applications using LLM frameworks and NLP techniques. Implement and maintain automated business workflows using orchestration and automation platforms. Collaborate with business and IT stakeholders to understand requirements and deliver practical, scalable solutions. Required Skills & Qualifications Bachelors degree in Computer Science, Data Science, or related technical field. 34 years of professional experience in Python development. Strong knowledge of Python data processing libraries (e.g., Pandas, NumPy). Experience with REST APIs and system integrations. Basic understanding of workflow automation and orchestration concepts (or willingness to learn). Basic knowledge of SQL and relational databases. Strong willingness to experiment with new AI tools and frameworks, and ability to quickly learn emerging technologies. *its Monday to saturday working.(Weekly off on sunday) If inetrested kindly reply with your upadte resume

Educational Bachelor of Engineering Service Line Quality Responsibilities Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Machine Learning-AI/ML Solution Architecture and Design

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are a passionate and skilled R&D Engineer with a strong background in C++ programming and software design. With your expertise in data structures and algorithms, you can tackle complex problems efficiently and optimize existing solutions. Your proficiency in scripting languages like Python, Shell, and Perl allows you to automate tasks and streamline processes, making you an invaluable asset in a fast-paced development environment. Your experience with ML/AI technologies is essential, as you will be enhancing operations projects with these advanced techniques. You thrive in collaborative settings, working seamlessly with cross-functional teams to develop, maintain, and optimize software solutions. Your solid understanding of Linux environments enables you to troubleshoot and resolve software-related issues effectively. You possess excellent problem-solving and analytical skills, coupled with strong communication and collaboration abilities. You are adaptable and capable of working in a dynamic team environment, always eager to learn and contribute to the team's vision and product success. What Youll Be Doing: * Designing, coding, and testing software components with proficiency in C++ programming. * Creating and maintaining Makefiles, BOM files, and build systems to streamline the software build and deployment process. * Utilizing scripting languages such as Python, Shell, and Perl for automation, testing, and system-level tasks. * Applying ML/AI technologies to enhance operations projects and develop sophisticated algorithms. * Collaborating with cross-functional teams throughout the software development lifecycle, from concept to deployment. * Troubleshooting and resolving software-related issues in a Linux environment. The Impact You Will Have: * Contributing to the development and enhancement of cutting-edge software applications. * Improving the efficiency and reliability of software build and deployment processes. * Automating repetitive tasks and optimizing system-level operations. * Enhancing the capabilities of operations projects with advanced ML/AI technologies. * Ensuring seamless collaboration and communication within cross-functional teams. * Resolving complex software issues and contributing to a robust and reliable software environment. What You’ll Need: * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. * 2-6 years of relevant experience in software development and R&D projects. * Strong proficiency in C++ programming and software design. * Experience with data structures and algorithms. * Knowledge of version control systems (Perforce, Git, SVN). * Familiarity with Makefiles and build systems. * Proficiency in scripting languages like Python, Shell, and Perl. * ML/AI experience is essential. * Solid understanding of Linux environments. Who You Are: You are a detail-oriented and innovative thinker with a passion for technology and software development. Your excellent problem-solving skills and analytical mindset allow you to tackle challenges creatively and efficiently. You have strong communication and collaboration abilities, making you an effective team player who can work seamlessly with others. You are adaptable, eager to learn, and driven to contribute to the success of the team and the company. The Team You’ll Be A Part Of: You will be joining a dynamic and innovative R&D team dedicated to developing cutting-edge software solutions. Our team is focused on continuous improvement, leveraging the latest technologies to enhance our products and processes. Collaboration is at the heart of what we do, and we work closely with cross-functional teams to achieve our goals and drive technological advancements.

Role & responsibilities ROS Developer Over all experience: 10-15years Key Responsibilities: Develop ROS-based software for robotic systems. Integrate sensors and actuators using Python and ROS libraries. Work with simulation tools like Gazebo for testing robotic behaviours. Optimize algorithms for motion planning, perception, and control. Debug and troubleshoot ROS nodes and packages. Collaborate with hardware engineers to ensure seamless integration. Skills Required: Proficiency in Python Experience with ROS/ROS2 and its ecosystem. Knowledge of robotics frameworks (Gazebo) Understanding of embedded systems and real-time processing. Familiarity with AI/ML for robotic applications. Preferred candidate profile

Job Purpose A data scientist turns raw data into valuable insights that an organization needs in order to grow and compete. He/she interprets and analyze data from multiple sources to come up with imaginative solutions to problems. Job Responsibilities Machine Learning Engineer with strong knowledge of Python and cloud based deployments Hands on experience in Java, Springboot, Quarks and database technologies You will be part of hands-on team developing ML based application for the bank using various ML techniques You will be required to build and deply ML applications in cloud using NLP, LLMs and other supervised learning techniques. You will be required to efficiently understand the data domain of the bank to perform EDA and MI report. And eventually designing and developing ML application on the data for multiple programs. Use data to change the economic ecosystem of the bank and Indian Financial space. The logo of the team is data can create magic and revenue streams for the bank and ML+MLOps is just a way achieve the goal. Key Skills Machine Learning Engineer with strong knowledge of Python and cloud based deployments Hands-on development experience and in-depth knowledge of Java, Golang, Spring boot and front-end technologies like Angular, Vue Excellent engineering skills in designing and implementing scalable solutions Strong knowledge of EDA, NLP, Topic Modeling, NER, Embedding models and Semantic Search based techniques Have working knowledge of LLMs via APIs like Open AI and deploying open source LLMs like LLAMA2 and FLAN T5 etc. Strong knowledge of Lang Chain framework and Fast API of python is a must have. Worked on deploying service and inference APIs on the cloud. Working experience of Cloud preferably Azure. Understanding of MLOps frameworks is a big plus. Knowledge of Classification, Q&A network using BERTetc. Strong knowledge of tensorflow and pytorch frameworks. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Apache Spark) is a big plus. Understanding of machine-learning and operations research Analytical mind and business acumen paired with problem-solving ability Excellent communication and presentation skills

Job Description: Yamaha Motor Solutions India is seeking a proactive and results-driven Business Analyst to join our Emerging Technology & Innovation Department . The Business Analyst will play a critical role in driving strategic initiatives, conducting market analysis, identifying new business opportunities and supporting innovation projects across emerging technology domains like drones, AI/ML, robotics, agriculture, carbon credits and sustainability. Qualifications: Bachelor’s degree in business administration, Engineering, Technology, or a related field. (MBA or master’s degree preferred, but not mandatory if strong experience exists.) 2-4 years of relevant experience in business analysis, technology consulting, innovation management, or market research roles (Big 4 firms preferred). Strong interest and passion for emerging technologies like Drones, Robotics, AI/ML, IoT, and Sustainability. Excellent analytical, research, and problem-solving abilities. Strong communication and presentation skills, capable of conveying complex ideas clearly through both written and visual mediums. Ability to work independently, manage multiple priorities, and take ownership of deliverables. Proficiency in Microsoft Office Suite (PowerPoint, Excel, Word) and visualization tools (e.g., Tableau, Power BI). Experience with SharePoint, Teams, or other collaboration platforms is a plus. Roles and Responsibilities Conduct comprehensive market research and analysis on emerging markets, technologies, and industry trends. Identify, evaluate, and help establish strategic partnerships and new business opportunities . Develop and implement go-to-market (GTM) strategies for new product and service initiatives. Prepare high-quality presentations, reports, dashboards, and business artifacts for internal and external stakeholders. Perform tender evaluation and support bid management for new business opportunities. Collaborate cross-functionally with technical, innovation, and project teams to gather data and insights for business initiatives. Analyse competitor strategies , business models, and market positioning to support strategic decision-making. Support internal project management , process improvement , and innovation evangelization efforts.

Title : ML Engineer Location : Chennai Working mode : Hybrid (3days WFO) Exp:2-10 Years Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

3–5 yrs exp in AI/ML, Python, Azure ML, and model deployment. Build & manage ML pipelines using Azure Data Factory, DevOps, ACI/AKS. Strong in scikit-learn, TensorFlow/PyTorch, MLOps, and large-scale data handling. Location: Mumbai.

Role - L2 Application Support - AI Platform JOB RESPONSIBILITIES Below are key role and responsibilities for this position: Resolve business /functional issues which couldnt be resolved by L1 team Interact with L1 and keep run-books and Standard support operational procedures(SOP) up-to-date Perform Ad-hoc support tasks and prepare reports for business Troubleshoot all the new incidents/issues for which knowledge base is not available and escalated by L1 team Resolve the incidents/issues and service requests as per agreed SLA Follow the escalation process to escalate to L3 team or next level of support as per escalation metric if unable to resolve the issue within agreed time window Prepare the Incident post-mortem / RCA(Root cause analysis) report of incidents and share it with all the stakeholders within agreed timeline Perform the shift handover activities as per agreed SOPs Participate in problem management, change management, knowledge management, even management etc. Update knowledge base with new learnings, changes in resolution steps etc. in timely manner Ensure SLA/KPI (under control of L2 team like incident response time are met and collect/update data of it in required tools Help shift/team lead to prepare to various operational reports required by internal and external stakeholders Contribute to support reusable assets and internal knowledge sharing sessions Work to build-up skills for L3 support level Work on POC of different solutions, tools etc. POC Coordinate with L1 and L3 engineers (as per case requirement) on various issues, incidents, service requests, user queries, various changes in environment, various events etc. Work on automation of manual activities if possible and share the details of automation opportunities with L3 team Personal Attributes: Systematic problem-solving approach, coupled with effective communication skills and a sense of drive Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution Should be flexible to work in all shifts Ability to prioritize when under pressure Excellent verbal and written communication skills. SKILL REQUIREMENTS Must Skills 6+ years of industry experience in the field of Application / Infrastructure Support and Maintenance Understanding of different Natural Language Processing Concepts Understanding of AI / ML, Deep learning, Generative AI , LLMs and Frameworks like Langchain , Llamaindex Experience with Python, Node JS and React programming languages. Knowledge of SQL and experience with relational databases. Have good understanding of Google Cloud Platform and Google Kubernetes Engine Have understanding of how cloud infrastructure is setup, applications are deployed, various services are setup and used etc. Good understanding of containerization and image management. Experience in working with development teams to containerize applications using Docker and ensure smooth deployment. Familiarity with DevOps and CI/CD pipelines (e.g., Jenkins, Cloud Build, or GitLab CI/CD). Knowledge of tools like Terraform or Ansible to automate infrastructure provisioning and management. Have good exposure of ITIL Processes like Incident Management, Problem Management, and Knowledge Management etc. Excellent communication and documentation skills. Strong problem-solving and analytical skills. Open to work in a 24X7 shift. Have good knowledge of Ticketing Tools like ServiceNow, Jira Servicedesk, Remedy etc. Have good level of production issues troubleshooting and analysis covering : Environment setup understanding Process level debugging & server-side troubleshooting Server configurations Have ability to demonstrate functional and technical architecture knowledge and correlate between the two from past experiences. Note : Only Immediate Joiners are preferred for this role.

Job Title: Generative AI Lead Location: Kharadi, Pune, India Experience: 4+ years (with 3+ years in AI/ML and 1+ years in GenAI) Job Type: Full-Time Mode: WFO Workdays: Monday to Friday Shift: Standard day shift Department: AI/ML About the Role: We are seeking a visionary and hands-on Generative AI Lead to drive our AI innovation strategy and implementation. This role involves leading GenAI projects from ideation to deployment, collaborating across teams, and building intelligent solutions that transform user experiences, workflows, and product capabilities. As a GenAI Lead, you will play a key role in architecting and deploying advanced AI models, especially in the fields of NLP, LLMs, and multimodal AI. Key Responsibilities: Lead the design, development, and deployment of generative AI solutions using LLMs, diffusion models, transformers, and other state-of-the-art techniques.Manage a team of AI/ML engineers and data scientists to deliver scalable and secure GenAI applications.Evaluate and fine-tune open-source and proprietary large language models (e.g., GPT, LLaMA, Mistral, Claude).Collaborate with product managers, engineers, and stakeholders to identify high-impact use cases.Integrate GenAI models into production systems ensuring efficiency, fairness, and reliability.Conduct POCs and prototypes for internal and client-facing solutions.Stay up to date with the latest research and advancements in generative AI and related fields.Ensure adherence to AI governance, ethics, and data privacy standards. Required Skills & Qualifications: Bachelor's/Masters/PhD in Computer Science, AI, Data Science, or a related field.Strong programming skills in Python and ML frameworks like TensorFlow, PyTorch.Proven experience with LLMs (OpenAI, Hugging Face, Anthropic, etc.) and prompt engineering.Hands-on experience in fine-tuning models and building GenAI pipelines.Knowledge of RAG, LangChain, Vector Databases (e.g., FAISS, Pinecone), and APIs.Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices.Experience with model evaluation, interpretability, and optimization.Strong problem-solving and communication skills. Preferred: Experience in deploying GenAI solutions.Exposure to multimodal AI (text + image/audio).Contribution to open-source GenAI projects or published research papers. What We Offer: Opportunity to lead impactful, cutting-edge AI initiativesCompetitive compensation and benefitsA collaborative and innovation-driven cultureAccess to latest tools and GPU resources

Enable and realize effective AI use case together with the specialist department in the Head Office. Responsible for the development of the AI Application from the idea to Integration into the financial services IT systems. Responsible to lead and develop AI solutions along with central teams with a focus on AI to further digitize the processes. Play a crucial role in coordinating with Development teams across multiple locations.

Position: Node.js Developer Experience Required: 3 Years Location: Noida Sector 62 About the Role: We are looking for an experienced Node.js Developer to join our team. The ideal candidate will have a strong background in back-end development, a deep understanding of JavaScript frameworks, and the ability to create efficient and scalable server-side applications. Key Responsibilities: 1. Design, develop, and maintain server-side applications using Node.js. 2. Collaborate with front-end developers to integrate user-facing elements with server-side logic. 3. Develop and optimize RESTful APIs and web services. Write clean, maintainable, and scalable code following best practices. 4. Ensure application performance, security, and responsiveness. 5. Debug and resolve application issues and production bugs 6. Work closely with cross-functional teams to gather requirements and deliver solutions. 7. Stay updated with emerging technologies and implement them as needed. Key Skills and Requirements: 1. 3 Years of experience in back-end development with a strong focus on Node.js. . 2. Proficient in JavaScript (ES6+) and modern development practices 3. Experience with frameworks such as Express.js, NestJS, or similar 4. Strong understanding of database technologies such as MongoDB, MySQL, or PostgreSQL. 5. Familiarity with front-end technologies like HTML, CSS, and frameworks such as React or Angular. 6. Experience with version control systems like Git. 7. Understanding of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines is a plus. 8. Knowledge of containerization tools like Docker and orchestration systems like Kubernetes is an advantage. 9. Strong problem-solving skills and attention to detail. 10. Excellent communication and collaboration abilities.

Greetings from Euclid Innovations!!! We have Python Developer with one of our client in Hyderabad. Position : Python GenAI Experience : 5+ Years Location : Hyderabad/Bangalore Work Mode: Hybrid Interview Mode: Client Round F2F-In Hyderabad Notice Period: Immediate to 20 Days Max Role Overview: We are looking for a skilled Python Developer with strong Artificial Intelligence (AI) expertise to join our growing technology team. The ideal candidate will be responsible for developing AI-powered solutions using Python and collaborating with data scientists and product teams to bring intelligent features to our applications. Key Responsibilities: Develop and maintain AI-enabled applications using Python. Design and implement machine learning and deep learning models for tasks like classification, prediction, NLP, or computer vision. Collaborate with data scientists to prepare data pipelines and automate model training and evaluation. Develop APIs or microservices to expose AI models and integrate them into front-end systems. Perform data preprocessing, feature engineering, and model validation. Continuously optimize model performance and monitor outputs in production environments. Stay up to date with emerging AI tools, libraries, and trends. Required Skills: Strong knowledge of Python and experience with libraries such as NumPy , Pandas , Scikit-learn , and TensorFlow or PyTorch . Solid understanding of machine learning algorithms , data structures, and OOP principles. Experience in building and deploying ML models in production. Familiarity with RESTful API development using Flask or FastAPI. Experience working with structured and unstructured data . Version control using Git and basic knowledge of DevOps tools. Preferred Qualifications: Bachelors/Masters degree in Computer Science, Engineering, AI, or related field. Exposure to NLP, computer vision , or time series forecasting. Familiarity with cloud platforms like AWS, GCP, or Azure. Basic knowledge of Docker , Kubernetes , or MLflow is a plus. Nice to Have: Hands-on experience with Generative AI or LLMs . Contributions to AI research or open-source AI projects. Experience with AI model monitoring and performance tuning. if interested share your profile to aruna.c@euclidinnovations.com