Key Responsibilities Develop and maintain high-quality web and mobile applications using React, React Native, and Next.js. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability. Maintain and improve the code quality, organization, and automatization. Stay up-to-date with emerging technologies and industry trends to apply them within the role. Requirements 3-6 years of experience in frontend development. Proficient understanding of web markup, including HTML5 and CSS3. Strong experience with React, React Native, and Next.js is essential. Good at Data Structures & Algorithms. Familiarity with RESTful APIs and modern authorization mechanisms, such as JSON Web Token. Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements. A knack for benchmarking and optimization. Desired Skills Excellent problem-solving skills. Strong bias for action with a history of delivering complex projects successfully. Experience in handling responsive design for high traffic environments. (ref:hirist.tech) Show more Show less
Key Responsibilities Team Leadership & Management : Lead, mentor, and grow engineering teams across India. Drive performance management, career development, and team culture. Own and oversee hiring strategies, working closely with talent acquisition. Technical Oversight Provide architectural guidance and technical leadership across engineering projects. Ensure code quality, system scalability, and operational excellence. Champion engineering best practices and continuous improvement. Delivery Management Oversee execution and delivery of engineering roadmaps. Collaborate with product managers, designers, and QA to ensure timely delivery of high-quality software. Stakeholder Engagement Act as a bridge between engineering, product, and business stakeholders. Communicate progress, risks, and dependencies to leadership and clients. Strategic Planning Contribute to product and technology strategy in alignment with business goals. Lead engineering capacity planning and budgeting in India operations. Business Development Support (Optional/Preferred) Provide technical input in sales, pre-sales, and business development efforts. Help assess and scope new business opportunities and client requirements. Required Qualifications 12+ years of engineering experience with at least 3-5 years in a senior leadership role. Proven experience leading large, distributed engineering teams. Strong understanding of modern software development practices, cloud technologies, and DevOps. Hands-on technical background with the ability to review code and guide architecture. Experience working with international clients and global product stakeholders. Excellent interpersonal, communication, and leadership skills. Prior experience managing India engineering operations is a strong plus. Exposure to business development or client-facing pre-sales activities is an added advantage. (ref:hirist.tech)
Job Description Develop and implement machine learning models to solve business problems, including classification, regression, clustering, and recommendation systems. Build and manage end-to-end data science pipelines, including data preprocessing, feature engineering, model development, and deployment. Collaborate with cross-functional teams to integrate models into production environments. Ensure models are scalable, accurate, and aligned with business objectives. Work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuously evaluate and improve model performance, ensuring that solutions are up-to-date with the latest advancements in AI/ML. Key Qualifications Bachelor's or Master's degree in computer science, Engineering, or related field. Minimum of 3+ years of hands-on experience in data science and machine learning. Strong proficiency in Python and experience with libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in building and deploying machine learning models in production environments. Strongexperience with NLP techniques deep learning models including CNNs, RNNs, and Transformers including LLMs, classification, and sentiment analysis. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong analytical and problem-solving skills, with the ability to work with large, complex datasets. Excellent communicatio (ref:hirist.tech)
Job Description Lead the development of innovative products and solutions using advanced AI/ML techniques, ensuring a competitive user experience. Design and prototype AI/ML services utilizing Python to demonstrate key concepts and functionality. Leverage Data Science and Machine Learning to solve complex organizational problems and create intellectual property that can be productized. Conduct hands-on work across multiple technologies, focusing on data analysis, pattern recognition, machine learning model development, and insight generation. Train algorithms for dedicated systems to reduce operational complexity and improve efficiency. Develop interfaces to project databases, with a focus on MongoDB (Document Data Base) for scalable solutions. Take initiative in driving projects and delivering results, maintaining a highly results-oriented approach. Requirements Extensive experience in research and development, especially in software based solutions and products. Proven experience in implementing strategies, proof-of-concepts (POCs), and commercial topics. Expertise in core software development functions, including architecture, development, and testing. Global experience with international projects and collaboration in diverse, multicultural teams is highly preferred. Minimum 6 years of experience developing software solutions using various programming languages. Strong expertise in Data Engineering, Data Analytics, and building data pipelines. Mastery of Python for AI/ML implementations. Deep understanding of distributed systems, including building and implementing algorithms in such environments. Hands-on experience with data science, machine learning, and developing web applications deployed on cloud platforms using frameworks like Flask or Django. Expertise in working with multiple databases, particularly NoSQL solutions like MongoDB. Solid experience in building REST APIs and microservices architecture. Strong understanding of web server technologies, load balancing, and deployment processes. Advanced knowledge of the software development life cycle (SDLC) and software engineering best practices. Excellent communication and presentation skills, with strong proficiency in English (both written and spoken). Experience with project management tools like Jira and Confluence is an added advantage. Familiarity with Agile/Lean development methodologies, particularly Scrum. Strong customer focus and the ability to quickly adapt and learn in a dynamic environment. Technical Expertise Proficient in machine learning frameworks such as TensorFlow or PyTorch. Familiarity with large language models (LLMs) such as GPT, LLaMA, etc. Expertise in data preprocessing, feature engineering, and model evaluation. Understanding of neural networks and deep learning concepts. Exposure to cloud platforms such as AWS, Azure, or Google Cloud. Ability to learn and apply new technologies in a fast-paced environment. Educational Qualifications Undergraduate: B.Tech/B.E. in Computer Science, Electronics and Communication (EC), or related fields; BCA in Computer Applications. Postgraduate: M.Tech in Computer Science, MCA in Computers, MCM in Computers and Management, MS/M.Sc (Science) in Computer Science (ref:hirist.tech)
Role & Responsibilities This role will be responsible for setting the engineering vision and strategy for the technology department, ensuring the delivery of robust, scalable, and innovative solutions. As a dynamic Engineering Leader this role lead the engineering team and contribute to shaping the future of organizational vision through cutting-edge software solutions. Lead and manage the engineering team to develop scalable, high-performance software solutions. Drive innovation, technical decision-making, and overall architectural direction for our platforms and products. Conduct code reviews, ensuring high-quality, maintainable code and adherence to best practices. Implement Agile development processes to ensure iterative and timely delivery of high-quality products. Preferred Candidate Profile Minimum 9+ years of experience in full-stack software development, with significant experience in leading and managing engineering teams. A Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent industry experience. Proven track record in driving the architecture and development of enterprise-scale applications. Strong hands-on experience with React.js for front-end development and Node.js for back-end services. Expertise in JavaScript with a deep understanding of asynchronous programming, closures, and JavaScript internals. Proficiency in SQL databases (MySQL, PostgreSQL, etc.), including complex queries, optimizations, and database design. Experience with API development and integration (RESTful APIs, GraphQL). Knowledge of cloud platforms (AWS, Azure, GCP) and DevOps practices is a plus. Familiarity with CI/CD pipelines and version control tools (Git). Perks And Benefits Role: Head - Engineering Industry Type : Internet Department : Engineering - Software & QA Employment Type : Full Time, Permanent Role Category : Software Development Education UG : Any Graduate PG : Any Postgraduate (ref:hirist.tech)
Role & Responsibilities This role will be responsible for setting the engineering vision and strategy for the technology department, ensuring the delivery of robust, scalable, and innovative solutions. As a dynamic Engineering Leader this role will not just lead the engineering team and contribute to shaping the future of organizational vision through cutting-edge software solutions, but also involve in hiring initiatives, internal and external stakeholder management and cross functional people management. Lead and manage the engineering team to develop scalable, high-performance software solutions. Drive innovation, technical decision-making, and overall architectural direction for our platforms and products. Conduct code reviews, ensuring high-quality, maintainable code and adherence to best practices. Implement Agile development processes to ensure iterative and timely delivery of high-quality products. Preferred Candidate Profile 10+ years of experience in full-stack software development, with significant experience in leading and managing engineering teams. A Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent industry experience. Proven track record in driving the architecture and development of enterprise-scale applications. Strong hands-on experience with React.js for front-end development and Node.js for back-end services. Expertise in JavaScript with a deep understanding of asynchronous programming, closures, and JavaScript internals. Proficiency in SQL databases (MySQL, PostgreSQL, etc.), including complex queries, optimizations, and database design. Experience with API development and integration (RESTful APIs, GraphQL). Knowledge of cloud platforms (AWS, Azure, GCP) and DevOps practices is a plus. Familiarity with CI/CD pipelines and version control tools (Git). (ref:hirist.tech)
You will be responsible for developing and implementing machine learning models to address business challenges, such as classification, regression, clustering, and recommendation systems. Your role will involve building and overseeing complete data science pipelines, encompassing data preprocessing, feature engineering, model creation, and deployment. Collaborating with diverse teams will be essential to seamlessly integrate models into operational environments. Your focus will be on ensuring that models are scalable, precise, and in line with business objectives. Additionally, you will work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuous evaluation and enhancement of model performance will be crucial to ensure solutions remain current with the latest AI/ML advancements. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field. A minimum of 3+ years of practical experience in data science and machine learning is required. Proficiency in Python is essential, along with a strong background in utilizing libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in constructing and deploying machine learning models in live environments is essential. Familiarity with NLP techniques and deep learning models, including CNNs, RNNs, and Transformers like LLMs for classification and sentiment analysis, is crucial. Any exposure to cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) would be advantageous. Strong analytical and problem-solving abilities are necessary, particularly when working with extensive and intricate datasets. Effective communication skills are also key in this role. This position offers an exciting opportunity to leverage your expertise in data science and machine learning to develop innovative solutions that drive business success while staying at the forefront of AI/ML developments.,
Experience as a software engineer with a background in backend and frontend systems. Expertise in core software development functions, including architecture, development, and testing. Hands-on experience with data science, machine learning, and developing web applications deployed on cloud platforms using frameworks like Flask or Django. Experience in applying AI to practical and comprehensive technology solutions. Experience integrating LLM or other large models. Excellent programming skills in Python, JavaScript is a must. Strong experience in building REST APIs and microservices architecture. Advanced knowledge of the software development life cycle (SDLC) and software engineering best practices. Ability to design prototypes and POCs to demonstrate solution feasibility and provide architecture solutions. Good exposure to Artificial Intelligence and Machine Learning (AI/ML) techniques and technological skills. Hands-on experience in frameworks such as Express.js, Nest.js, Next.js. Proficiency in database management systems like MongoDB, PostgreSQL, MySQL, or Redis. Strong problem-solving and analytical skills. Bachelor's or master's degree in computer science or a related field.,
As a Python Developer with over 3 years of experience and a solid portfolio of projects, you will be responsible for developing high-quality software solutions. You should hold a Bachelor's degree in Computer Science, Software Engineering, or a related field to ensure a strong foundation in the field. Your expertise should encompass a deep understanding of Python software development stacks, ecosystems, frameworks, and tools including Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, and PyTorch. Proficiency in front-end development using HTML, CSS, and JavaScript is essential for this role. Additionally, familiarity with database technologies such as SQL and NoSQL will be beneficial. Your problem-solving skills should be exceptional, coupled with effective communication and collaboration abilities. Preferred qualifications include experience with Python frameworks like Django, Flask, or Pyramid. Knowledge of data science and machine learning concepts along with cloud platforms such as AWS, Google Cloud, or Azure will be advantageous. If you have contributed to open-source Python projects or actively engaged in the Python community, it will be considered a plus point. Join our team and be part of creating innovative solutions that make a difference in the tech industry.,