51 Algorithm Development Jobs

Responsibilities: Work on end-to-end API integrations (REST, WebSocket) Implement and optimize data pipelines using Pandas, NumPy Use DSA to solve real-world performance-critical problems Handle database interaction (SQLite, PostgreSQL, or MongoDB)

Associate Level-1/Sr Associate-Quantitative Analyst Resources/Financing Optimization Global Market Quantitative Research (GMQR) Team is responsible for most aspects of quantitative research within the Global Market universe, covering Interest Rates, FX, Credit, and Equity. There are teams in London, New York and Asia supporting trading activities of the flow and structured desks. They are responsible for the development of pricing, risk, margin, and profitability models and their implementation in the global analytics library. GMQR Resources & Financing Optimization provides expert solutions to the financing activities for both client-facing activities and internal cost optimization. It covers the calculation of liquidity and balance sheet metrics, the optimization of funding costs and the automation of the inventory management platform. The team develops sophisticated models and put in place the infrastructure and the technology to develop, support and optimize the activity. Responsibilities Within GMQR Resources & Financing Optimization, the role focuses specifically on Liquidity and Balance Sheet metrics. This is a front office Associate quantitative research role. Participate to the development of the framework in C# used to calculate liquidity and balance sheet metrics of Global market activities. The scope covers all business lines, products and asset class of Global Markets. Develop the tooling that gives Trading operators the ability to understand all aspects of the calculation and allow them to steer the metrics efficiently daily Provide expertise and support to the users of the application Take an active part in all front office activities by collaborating with other functions (Trading, Sales, IT and Market Risk) and Research globally and develop relations with various stakeholders. Technical & Behavioral Competencies Graduate degree in mathematics or computer engineering with strong analytical skills. Knowledge of finance is a bonus. Strong analytical skills and technical background in mathematics, computer science or finance. Prior programming experience in C# or other object-oriented programming languages. Reliable and Detailed-oriented Knowledge of statistics as well as optimization algorithms. Effective communication skills, ability and willingness to engage the business Delivery focused and willingness to collaborate with other teams. Familiarity with Liquidity and Balance Sheet topics Resources is a plus Skills Referential Behavioural Skills : Attention to detail / rigor Critical thinking Communication skills - oral & written Ability to collaborate / Teamwork Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent Experience Level At least 2 years

Dear Candidate, We are hiring an AI Research Engineer to develop novel algorithms and prototype cutting-edge AI models. Ideal for professionals with a strong background in deep learning and experimental development. Key Responsibilities: Research and implement new AI/ML architectures (transformers, GANs, RL, etc.) Prototype and benchmark models for performance and generalization Contribute to technical papers, open-source projects, or patents Work with compute-intensive infrastructure and large datasets Required Skills & Qualifications: Strong coding skills in Python and frameworks like PyTorch or TensorFlow Solid foundation in mathematics, deep learning, and optimization techniques Experience with distributed training and GPU acceleration Bonus: Publication record or contributions to academic/industry AI research Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Data Science Engineer to build production-ready data science pipelines and models. Ideal for professionals who blend software engineering with applied ML skills. Key Responsibilities: Design and develop ML pipelines for training, evaluation, and deployment Engineer data preprocessing and feature extraction systems Integrate models into applications and monitor post-deployment performance Collaborate with data scientists, engineers, and product teams Required Skills & Qualifications: Proficiency in Python, pandas, scikit-learn, and MLflow Experience with Spark, Airflow, or cloud ML pipelines Strong grasp of statistics, data structures, and ML model optimization Bonus: Exposure to MLOps tools and model versioning frameworks Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Job Description Summary We are looking for top notch researchers to be part of our growing Software Controls and Optimization team at GE Aerospace Research. As a group, we innovate and execute on the R&D strategy for GE Aerospace on a range of problems from building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business, engine faults to designing inspections solutions for aircraft engines Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: As a Lead Research Engineer Machine Learning, you will: Work independently as well as with a diverse team to develop and apply advanced technology solutions to GE Aerospace products and services using modeling, optimization, estimation, or detection technologies, leveraging AI/ML to augment a physics-based understanding of systems. Validate performance of developed solution through simulations and application on target product to mature technology to be transferred to the GEbusiness. Document technology and results through patent applications, technical reports, andpublications. Stay current with advances in system technologies to seek out new ideas andapplications. Work in a team environment with colleagues across GE Aerospace Research, and business units. Ideal candidate: Should have experience in machine learning Required Qualifications Doctorate degree in an Engineering field with a minimum of 3 years of experience in design of estimation, controls, AI/ML, or fault detection algorithms. Or a Masters degree in an Engineering field with a minimum of 7 years of experience in AI/ML, physics-based modeling, estimation, or fault detection algorithms. Knowledge and application of data analytics, optimization, estimation, or detectionalgorithms. Proficiency in Python or Matlab and familiarity with C & C++. Demonstrated experience (algorithm development and software implementation) in developing systems solutions for complex physical systems (e.g. mechanical systems, aviation systems, power systems, etc.). Demonstrated ability to lead teams and execute on large projects. Desired Qualifications Experience with end-to-end development of digital products with exposure to problems in the aero/thermal domain. Strong analytical skills, familiarity with robust modeling/analysis techniques. Proficiency with use of NPSS for aerospace applications. Strong interpersonal skills. Self-motivated and ability to work independently and as part of a team. Experience leading teams which includes setting up schedules, milestones, technical reviews, tracking funding etc. Ability to communicate effectively with senior leadership. Demonstrated ability to take an innovative idea from a concept to a product. Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-DM3 Additional Information Relocation Assistance Provided: Yes

Hi Everyone, Open Positions in the Software Developer(Algorithm) C++ Role Greetings from Tekaccel! This is an excellent opportunity with us. If you have that unique and unlimited passion for building world-class enterprise software products that turn into actionable intelligence, then we have the right opportunity for you and your career. What are we looking for? Job Title: Software Developer (Algorithm) C++ / Python / Qt / MATLAB Location: Pune Experience Required: 8-10 Years Employment Type: Full-time Job Summary: Boston Scientific is seeking an experienced Software Developer (Algorithm) with strong expertise in C++, Python, Qt, and working knowledge of MATLAB and Unix environments. The ideal candidate will have a proven track record of delivering mission-critical products and hands-on experience in algorithm development, preferably with exposure to medical devices and modern software practices. Roles and Responsibilities: Design, develop, and optimize advanced software algorithms in C++ and Python. Build intuitive and high-performance user interfaces using Qt. Work with MATLAB for scientific computing and data analysis. Operate in Unix-based environments for development, testing, and deployment. Ensure product quality and patient safety by following Boston Scientifics quality standards and processes. Collaborate with cross-functional teams including clinical, hardware, and software groups. Contribute to all phases of the software development lifecycle: requirements, design, implementation, verification, and validation. Participate in code reviews, unit testing, and CI/CD pipeline integration. Document algorithm designs, coding standards, and test protocols. Required Skills and Experience: BS/MS/PhD in Computer Science, Electrical Engineering, or equivalent. 8-10 years of experience in software development with strong algorithm development background. Proven track record in delivering mission-critical products. Expertise in C++, with proficiency in Python or MATLAB. Strong experience with Qt framework. Working knowledge of Unix/Linux systems. Preferred Experience: Medical device domain experience. Experience in responsive web app development. Familiarity with AWS cloud infrastructure, CI/CD pipelines, and unit testing best practices. If interested, candidates, please share your updated resume at naveen@tekaccel.com or WhatsApp at +91 7997763537 Tekaccel Software Services India

Role/Designation: Data Scientist Location: Gurgaon Level/ Band: Band C (Manager/ Sr. Manager) Brief about the role/ team/ candidate requirement: We are looking for a motivated and highly skilled Data Scientist to join our Flight Safety team. This role will be pivotal in using advanced data analytics and machine learning techniques to enhance flight safety decisions and processes. The candidate will work with time-series, multi-variate data to detect anomalies, identify patterns, and build predictive models that support safety management. The ideal candidate should have a strong foundation in data science, machine learning, and deep learning techniques, along with expertise in applying these skills in the aviation safety domain. The candidate will play a key role in developing algorithms, performing exploratory data analysis, and utilizing artificial intelligence tools to forecast potential safety risks, providing valuable insights for strategic safety decisions. Qualification & Experience: Educational Requirements: Engineering graduate with a specialization in Data Science or a related field. Completion of a Data Scientist course or equivalent certification. Experience: A minimum of 6 years of hands-on experience working directly with data, particularly in the context of data science and machine learning. Skill set: Data analysis Anomaly detection Machine learning Big data analytics Programming skills Job responsibilities: Data analysis expertise: Ability to conduct exploratory data analysis to uncover patterns, trends, and insights from complex datasets. Anomaly detection: Expertise in anomaly detection techniques for time-series, multi-variate data, with a focus on identifying outliers and irregular behavior. Machine learning and deep learning: Strong understanding of data science methodologies, machine learning algorithms, and deep learning architectures such as Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN). Big data analytics: Proficient in utilizing AI and machine learning techniques for big data analytics, with the goal of predicting and mitigating potential safety risks. Programming skills: Expertise in Python and MATLAB for data manipulation, modeling, and algorithm development. Algorithm development: Strong ability to formulate custom algorithms tailored to specific requirements, ensuring accurate results in the context of flight safety and operational excellence. Data collection: Proficiency in gathering and preprocessing data from various sources to ensure high-quality datasets for analysis and modeling.

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

About Oceaneering: Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Role Summary: The Principal Data Scientist will develop Machine Learning and/or Deep Learning based integrated solutions that address customer needs such as inspection topside and subsea. They will also be responsible for development of machine learning algorithms for automation and development of data analytics programs for Oceaneerings next generation systems. The position requires the Principal Data Scientist to work with various Oceaneering Business units across global time zones but also offers the flexibility to work in a Hybrid Work-office environment. Responsibilities: Lead and supervise a team of moderately experienced engineers on product/prototype design & development assignments or applications. Work both independently and collaboratively to develop custom data models and algorithms to apply on data sets that will be deployed in existing and new products. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Build data models and organize structured and unstructured data to interpret solutions. Prepares data for predictive and prescriptive modeling. Architect solutions by selection of appropriate technology and components Determines the technical direction and strategy for solving complex, significant, or major issues. Plans and evaluates architectural design and identifies technical risks and associated ways to mitigate those risks. Prepares design proposals to reflect cost, schedule, and technical approaches. Recommends test control, strategies, apparatus, and equipment. Develop, construct, test, and maintain architectures. Lead research activities for ongoing government and commercial projects and products. Collaborate on proposals, grants, and publications in algorithm development. Collect data as warranted to support the algorithm development efforts. Work directly with software engineers to implement algorithms into commercial software products. Work with third parties to utilize off the shelf industrial solutions. Algorithm development on key research areas based on clients technical problem. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this field. Ability to work hands-on in cross-functional teams with a strong sense of self-direction. REQUIRED Bachelors degree in Electronics and Electrical Engineering (or related field) with ten or more years of past experience working on Machine Learning and Deep Learning based projects OR Masters degree in Data Science (or related field) with eight or more years of past experience working on Machine Learning and Deep Learning based projects DESIRED Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc. Proficient in Object Oriented Analysis, Design and Programming Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc. DESIRED Experience/Knowledge: Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc. Proficient in Object Oriented Analysis, Design and Programming Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc. Prior experience in handling large amount of data that includes texts, shapes, sounds, images and/or videos. Knowledge of SaaS Platforms like Microsoft Fabric, Databricks, Snowflake, h2o etc. Background experience of working on cloud platforms like Azure (ML) or AWS (SageMaker), or GCP (Vertex), etc. Proficient in querying SQL and NoSQL databases Hands on experience with various databases like MySQL/PostgreSQL/Oracle, MongoDB, InfluxDB, TimescaleDB, neo4j, Arango, Redis, Cassandra, etc. Prior experience with at least one probabilistic/statistical ambiguity resolution algorithm Proficient in Windows and Linux Operating Systems Basic understanding of ML frameworks like PyTorch and TensorFlow Basic understanding of IoT protocols like Kafka, MQTT or RabbitMQ Prior experience with bigdata platforms like Hadoop, Apache Spark, or Hive is a plus.

We are conducting a face-to-face interview drive in Bengaluru for the position of Flight Stability Engineer . Please note: The job location will be in Nagpur , Maharashtra, upon successful selection. Interview Details: Date: Saturday 21st June 2025 (10am to 5pm) Venue: Novotel-Bangalore Description • Seeking a highly skilled Asset Diagnostics Engineer to join our innovative team working on cutting-edge MALE class of UAV systems. The candidate will collaborate with cross-functional teams to design, develop and deploy the Self-Diagnostics tool for the critical UAV systems. Responsibilities • Develop good understanding of the critical systems in UAV and DAQ systems for these critical systems. • Collaborate with a multidisciplinary team of engineers and researchers to design, develop, and deploy self-diagnostics tools for critical systems in MALE class of UAV. • Utilize expertise in statistics, machine learning, and vibration analysis to analyze large datasets and extract actionable insights related to equipment health and performance. • Develop algorithms and models for fault detection and anomaly detection using historical and real-time sensor data. • Implement diagnostic algorithms into software applications or embedded systems for real-time monitoring and decision support. • Participate in deployments and field trials, working closely with field engineers to validate tool performance and gather feedback for continuous improvement. Qualifications • Bachelor's or Masters degree in Mechanical Engineering, Electronics Engineering, Computer Science Engineering, or a related engineering discipline. • Strong background in statistics, machine learning, condition monitoring, and signal processing applied to diagnostics applications. • Proficiency in programming languages such as Python, MATLAB, or C++ for data analysis, algorithm development, and implementation. • Experience with vibration analysis techniques and familiarity with industrial sensors and data acquisition systems. • Knowledge of ISO 17359:2018 is desirable.

Job Summary We are seeking a highly skilled Sr. Developer with 6 to 9 years of experience to join our team. The ideal candidate will have expertise in Compilers and debuggers Rational Rhapsody Embedded C MATLAB and C++. Experience in the Automotive Industry is mandatory. This role offers a hybrid work model and operates during the day shift. No travel is required. Responsibilities Develop and maintain high-quality software solutions using Embedded C and C++ for automotive applications. Utilize Rational Rhapsody for model-based design and development. Employ compilers and debuggers to ensure code efficiency and reliability. Integrate MATLAB for simulation and algorithm development. Collaborate with cross-functional teams to gather and analyze requirements. Conduct code reviews to maintain code quality and adherence to industry standards. Provide technical guidance and mentorship to junior developers. Troubleshoot and resolve complex software issues in a timely manner. Ensure compliance with automotive industry standards and regulations. Participate in the full software development lifecycle from concept to deployment. Develop and execute unit tests to validate software functionality. Document software designs code and test results for future reference. Continuously improve software development processes and methodologies. Qualifications Possess a Bachelors or Masters degree in Computer Science Electrical Engineering or a related field. Demonstrate strong proficiency in Embedded C and C++ programming languages. Have extensive experience with Rational Rhapsody for model-based design. Show expertise in using compilers and debuggers for software development. Exhibit proficiency in MATLAB for simulation and algorithm development. Bring a solid understanding of automotive industry standards and practices. Display excellent problem-solving and analytical skills. Have strong communication and collaboration abilities. Show a commitment to continuous learning and professional development. Demonstrate the ability to work effectively in a hybrid work model. Exhibit strong attention to detail and a focus on quality. Have experience in conducting code reviews and providing constructive feedback. Show the ability to mentor and guide junior developers.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI technology. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with the team to understand application requirements. - Design and develop applications based on business process requirements. - Configure applications to ensure optimal performance and functionality. - Test and debug code to identify and resolve any issues. - Collaborate with cross-functional teams to integrate applications with other systems. - Provide technical support and troubleshooting for applications. - Stay updated with the latest industry trends and technologies. - Assist in documenting application design, development, and maintenance processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleansing, transformation, and normalization to ensure data quality and integrity - Creation and validation of test data,and predictive modelling like ANN, Gradient Boosting, and K-NN - Knowledge of Predictive analytics and algorithims Additional Information: - A 15 years full-time education is required.

Role & responsibilities • Design and Development of Application Software as per requirements. • Writing clean, high-quality, high-performance, maintainable code while incorporating good design practices. • Develop and support software including applications, hardware and sensor data integration, interfaces, and new functionality enhancements. • Coordinate cross-functionally to ensure project meets business objectives and compliance standards. • Support test and deployment of new products and features. • Participate in code reviews. • Skills: C++ / C (must), Linux (highly desirable), LVGL (desirable), Experience/Exposure to Yocto & Poky (nice to have), Multi-threaded applications / IPC Design & Development (Desirable). • Desirable: Experience in Linux, Embedded Systems Interfacing; with a solid Math background. • Desirable: Exposure and Experience in Object Oriented Design • Knowledge and practice of applying Design Patterns - nice to have. • Experience with Computer Vision, Image Processing Algorithms and Stereo Vision; and exposure to Kinematics & Robotics are desirable - nice to have. • 4+ years of relevant work experience. • Bachelor's degree in Computer Science (or related field). • Experience with Agile or Scrum software development methodologies. • Ability to plan, organize, and prioritize work.

Dear Candidate, We are seeking an AI Software Developer to design and implement intelligent applications using machine learning, deep learning, and natural language processing. Key Responsibilities: Build, train, and deploy AI/ML models for real-world applications. Collaborate with data scientists to convert models into production-ready APIs. Optimize models for performance, scalability, and latency. Integrate AI capabilities into enterprise systems or consumer products. Monitor model performance and update based on new data. Required Skills & Qualifications: Proficiency in Python and frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with AI/ML deployment (e.g., Docker, FastAPI, AWS SageMaker). Knowledge of computer vision, NLP, or recommendation systems. Familiarity with MLOps practices and version control for models. Strong problem-solving and data structure knowledge. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

About Us: At Zybisys , were not just another cloud hosting and software development companywere all about pushing boundaries in the FinTech world. We dont just solve problems; we rethink how businesses operate, making things smoother, smarter, and more efficient. Our tech helps FinTech companies stay ahead in the digital game with confidence and flexibility. Innovation is in our DNA, and were always on the lookout for bold thinkers who can tackle big challenges with creativity and precision. At Zybisys, we believe in growing together, nurturing talent, and building a future where technology transforms the way FinTech works. Role & responsibilities We're looking for a Principal Software Architect whos passionate about AI/ML and product innovation. In this role, youll be at the forefront of designing and building smart, AI-driven solutions that tackle complex business challenges. You’ll work closely with teams across product, development, and research to shape our tech strategy and ensure everything aligns with our next-gen platform. If you love pushing the boundaries of technology and driving real innovation, this is the role for you! Key Responsibilities: Architect & Design: Architect, design, and develop large-scale distributed cloud services and solutions with a focus on AI/ML, high availability, scalability, and robustness. Design scalable and efficient solutions, considering factors such as performance, security, and cost-effectiveness. AI/ML Integration: Spearhead the application of AI/ML in solving business problems at scale. Stay at the forefront of AI/ML technologies, trends, and industry standards to provide cutting-edge solutions Product Roadmap : Work closely with Product Management to set the technical product roadmap, definition, and direction. Analyze the current technology landscape and identify opportunities for improvement and innovation. Technology Evaluation: Evaluate different programming languages and frameworks to determine the most suitable ones for project requirements Component Design: Develop and oversee the creation of modular software components that can be reused and adapted across different projects. UI/UX Collaboration: Work closely with design teams to craft intuitive and engaging user interfaces and experiences. Project Oversight: Oversee projects from initiation to completion, creating project plans, defining objectives, and managing resources effectively Team Mentorship: Guide and inspire a team of engineers and designers, fostering a culture of continuous learning and improvement. Innovation & Ideation: Champion the generation of new ideas for product features, staying ahead of industry trends and customer needs. Research & Development: Leading initiatives that explore new technologies or methodologies. Strategic Planning: Participating in high-level decisions that shape the direction of products and services. Industry Influence: Representing the company in industry forums or partnerships with academic institutions. Preferred candidate profile Experience: Minimum of 10 years in software development, with at least 5 years in a scalable software architect role. Technical Expertise: Proficient in software architecture, AI/ML technologies, and UI/UX principles. Leadership Skills: Proven track record of mentoring teams and driving cross-functional collaboration. Innovative Mindset: Demonstrated ability to think creatively and introduce groundbreaking ideas. Communication: Excellent verbal and written skills, with the ability to engage effectively with both technical and non-technical stakeholders. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Perks and benefits A dynamic work environment where your ideas truly matter. Opportunities to attend and speak at industry conferences. Collaboration with cutting-edge technology and tools. A culture that values innovation, autonomy, and personal growth.

XenonStack's Artificial Intelligence team is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. Your goal will be to shape and build efficient self-learning applications. Key Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select relevant datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements Technical Requirement: Knowledge in Machine Learning Engineer or similar role Understanding of data structures, data modelling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Professional Attributes: Excellent communication skills & Attention to detail. Analytical mind and problem-solving Aptitude with Strong Organizational skills & Visual Thinking. Education: Technical Graduates (BCA, BSC, B. Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills Benefits: Dynamic and purposeful work culture in a people-oriented organization contributing to multi-million-dollar projects with guaranteed job security. Open, authentic, and transparent communication fostering a warm work environment. Regular constructive feedback and exposure to diverse technologies. Recognition and rewards for exceptional performance achievements. Access to certification courses & Skill Sessions to develop continually and refine your skills. Additional allowances for team members assigned to specific projects. Special skill allowances to acknowledge and compensate for unique expertise. Comprehensive medical insurance policy for your health and well-being.

*Design, develop & optimize algorithms using C++ & Python with QT framework *Minimum 4+ years experience as a Software Developer (Algorithm). Strong proficiency in C++, Python, and QT framework. Education: Annual bonus Health insurance

Job Summary: We are looking for a passionate and skilled AI/ML Engineer to join our team, focusing on cutting edge solutions in vector search, embeddings, and semantic similarity. In this role, you will design, develop, and optimize intelligent search systems that leverage state-of-the-art machine learning and deep learning techniques. You will collaborate with cross-functional teams to build scalable and efficient solutions that transform how we retrieve and process information. Key Responsibilities: Develop and Optimize Vector Search Systems: Implement advanced vector-based search algorithms using frameworks like FAISS, Milvus, Weaviate, or Pinecone to enable high-performance retrieval systems. Design Semantic Search Solutions: Apply semantic similarity techniques to enable precise and context-aware search experiences. Research and Experimentation: Stay updated on advancements in NLP, ANN (Approximate Nearest Neighbor) search, and embedding models; experiment with new tools and techniques to improve system performance. Collaboration and Documentation: Collaborate with data scientists, backend engineers, and product teams, and document methodologies and findings effectively. Required Skills Machine Learning Expertise: Hands-on experience with ML frameworks NLP Knowledge: Strong understanding of natural language processing, embeddings, and transformer-based models (e.g., BERT, RoBERTa, GPT). Vector Search Tools: Proficiency in tools like FAISS, Milvus, Pinecone, or other ANN libraries. Search Algorithms: In-depth knowledge of similarity search techniques, including cosine similarity, dot-product scoring, and clustering methods. Programming Skills: Strong coding abilities in Python (experience with libraries like NumPy, Pandas, Scikit-learn, Hugging Face Transformers, etc.). Cloud/DevOps Knowledge: Familiarity with cloud platforms (Azure) and containerization/orchestration tools like Docker and Kubernetes. Preferred Skills Experience with hybrid search techniques combining traditional search (e.g., Elasticsearch, Solr) and vector search. Knowledge of vector quantization techniques for optimized storage and retrieval. Background in information retrieval, knowledge graphs, or recommendation systems. Key Traits: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate with offshore and onshore teams. Be a problem solver and be proactive to solve the challenges that come his/her way.

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the worlds largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Why Join Sigmoid? • Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. • Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo • Vibrant inclusive culture of mutual respect and fun through both work and play Roles and Responsibilities: • Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. • Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. • Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights • Contribute to internal product development initiatives related to data science. • Drive excellent project management required to deliver complex projects, including effort/time estimation. • Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy • Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects • Manage the team-members, to ensure that the project plan is being adhered to over the course of the project • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: • A B-Tech/M-Tech/MBA from a top tier Institutepreferably in a quantitativesubject • 10+ years of hands-onexperience in applied Machine Learning, AI and analytics • Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) • Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas • Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimalguidance Excellent written and verbal communication skills

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Automotive ECU Software Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Engineer, you will play a pivotal role in defining, analyzing, and managing software requirements for complex engineering projects. Roles & Responsibilities:1.Collaborate with algorithm development teams to elicit, analyze, and document software requirements.2.Utilize MATLAB to create and maintain system models, including block diagrams and statecharts.3.Ensure traceability between requirements and system models.4.Employ Polarion or similar tools to manage requirements throughout the development lifecycle.5.Collaborate with development teams, including algorithm developers, to ensure requirements are accurately implemented.6.Develop test cases based on requirements.7.Create and maintain comprehensive software documentation, including user manuals, technical specifications, and design documents. Professional & Technical Skills: 1.Strong understanding of software development principles and methodologies.2.Proficiency in MATLAB, including model-based design and simulation techniques.3.Experience with Polarion or similar requirement management tools.4.Experience with model-based systems engineering (MBSE) methodologies.5.Working experience with automotive development process:A-Spice / ISO26262 / Scrum. Additional Information:- The candidate should have a minimum of 3 years of experience in Automotive ECU Software.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are looking for a talented and experienced Software Engineer II to join our dynamic team. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Software Engineer II, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. We are seeking engineers with diverse specialties and skills to join our dynamic team to innovate and solve complex challenges. Our team is looking for strong talent with expertise in the following areas: Front End UI Engineer (UI/UX design principles, responsive design, JavaScript frameworks) DevOps Engineer (CI/CD Pipelines, IAC proficiency, Containerization/Orchestration, Cloud Platforms) Back End Engineer (API Development, Database Management, Security Practices, Message Queuing) AI/ML Engineer (Machine Learning Frameworks, Data Processing, Algorithm Development, Big Data Technologies, Domain Knowledge) Responsibilities: Software DevelopmentWrite clean, maintainable, and efficient code or various software applications and systems. Design and ArchitectureParticipate in design reviews with peers and stakeholders Code ReviewReview code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines TestingBuild testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and TroubleshootingTriage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and QualityContribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops ModelUnderstanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. DocumentationProperly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with cloud platforms like Azure, AWS, or GCP. Experience with test automation frameworks and tools. Knowledge of agile development methodologies. Commitment to continuous learning and professional development. Good communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! Disability Accommodation in the Application and Interview Process UKGCareers@ukg.com

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are looking for a Lead Software Engineer to join our dynamic team. This role provides an opportunity to lead projects and contribute to high-impact software solutions that are used by enterprises and users worldwide. As a Lead Software Engineer, you will be responsible for the design, development, testing, deployment, and maintenance of complex software systems, as well as mentoring junior engineers. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. We are seeking engineers with diverse specialties and skills to join our dynamic team to innovate and solve complex challenges. Our team is looking for strong talent with expertise in the following areas Front End UI Engineer (UI/UX design principles, responsive design, JavaScript frameworks) DevOps Engineer (CI/CD Pipelines, IAC proficiency, Containerization/Orchestration, Cloud Platforms) Back End Engineer (API Development, Database Management, Security Practices, Message Queuing) AI/ML Engineer (Machine Learning Frameworks, Data Processing, Algorithm Development, Big Data Technologies, Domain Knowledge) Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. Technical Leadership Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance. Project Management Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. Architectural Design Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. Code Review Diligent about reviewing code developed by other developers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc. Testing Build testable software, define tests, participate in the testing process, automate tests using, tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Service Health and Quality Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences. Dev Ops Model Understanding of working in a DevOps Model.Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation Properly document new features, enhancements or fixes to the product, contributing to training materials. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 4+ years of professional software development experience. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software development practices and design patterns. Proficiency with version control systems like GitHub and bug/work tracking systems like JIRA. Understanding of cloud technologies and DevOps principles. Preferred Qualifications: Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Experience with test automation frameworks and tools. Knowledge of agile development methodologies. Familiarity with developing accessible technologies. Dedicated to diversity and inclusion initiatives. Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! Disability Accommodation UKGCareers@ukg.com

developing, optimizing, and maintaining MATLAB applications and scripts, performing data analysis and visualization and collaborating with engineers and scientists. They may also be responsible for algorithm development, numerical analysis, and debugging. Work Experience a bachelors degree in engineering, computer science, or a related field. 3-5 equivalent experience. Experience with MATLAB and other programming languages like C/C++, Python, Advanced level of competency in Matlab and Python is desired Skills in Java preferred

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 Asset and Wealth Management, 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 Utilize Python and Java for data analysis and algorithm development. Develop and implement machine learning models and GenAI solutions. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Perform data mining and extraction from various sources. Ensure data quality and integrity in all projects. Communicate findings and insights effectively to stakeholders. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Education Degree in Engineering Stream, Data Science, Statistics, or a related field. Proven experience with Python and Java programming languages. Extensive experience in developing and deploying machine learning models. Strong background in GenAI and its applications. Advanced proficiency in Python and Java. Expertise in GenAI technologies and frameworks. Strong understanding of machine learning algorithms and techniques. Experience with big data tools and platforms. Proficiency in data visualization tools such as Matplotlib, Seaborn, or Tableau. Preferred qualifications, capabilities, and skills Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Knowledge of data engineering and ETL processes.

Position Summary: We are looking for a Sr. Biostatistician with expertise in digital signal processing (DSP) , machine learning (ML) , and artificial intelligence (AI) to join our multidisciplinary team advancing digital health solutions. The ideal candidate is a life-long learner who thrives on tackling complex data challenges and contributing to impactful innovations in health and wellness technologies. You will work with physiological signals to generate insights that support product development, research studies, and user-centric analytics. Key Responsibilities: Analyze time-series and physiological data using statistical , ML/AI , and DSP techniques. Apply core statistical methods to model variability, trends, and associations in health-related data. Develop, evaluate, and optimize predictive models and signal processing algorithms using Python , MATLAB , and R . Design studies and experiments to assess algorithmic performance and real-world usability. Work cross-functionally with data scientists, engineers, and clinical researchers to translate findings into actionable product improvements. Maintain clear documentation of analysis plans, code, and results for internal sharing and scientific communication. Stay up to date with emerging tools and techniques in machine learning, statistics, and DSP , applying them creatively to solve real-world problems. Required Qualifications: MS or PhD in Biostatistics, Biomedical Engineering, Computer Science, Statistics, or a related field. 10+ years of experience in a biostatistics, signal processing, or data science rolepreferably in digital health or health technology domains. Strong working knowledge of statistics , ML/AI , and digital signal processing . Proficiency with scientific programming and data analysis using MATLAB , R , and Python . Demonstrated ability to learn and apply new algorithms and technologies in a fast-paced environment. Strong communication and teamwork skills; ability to explain complex technical topics to non-technical stakeholders. Self-motivated, detail-oriented, and intellectually curious. Preferred Qualifications: Experience with wearable sensor data, digital biomarker development, or mHealth platforms. Familiarity with data engineering tools and environments Track record of contributions to research publications, technical reports, or open-source projects. What Were Looking For: A curious thinker who enjoys solving meaningful problems with data A passionate learner who embraces new challenges and evolving technologies An enthusiastic collaborator who thrives in interdisciplinary teams A life-long learner who stays ahead of trends in digital health , AI , statistics , and DSP What We Offer: Competitive compensation and benefits A mission-driven, people-first culture Opportunities to grow alongside a high-impact team in a cutting-edge domain Flexibility and autonomy in your work environment Role & responsibilities