5490 Flask Jobs - Page 34

Key Responsibilities: 1. Design and deliver interactive training sessions in Web Development, Java, Python, and Cybersecurity. 2.Guide MCA, BE/B.Tech, M.Tech, and BCA students on their academic internship projects. 3. Develop structured project modules, assignments, and real-time use cases. 4. Mentor students one-on-one and in groups, helping them understand industry expectations and best practices. 5. Prepare technical documentation, project reports, and evaluation metrics. 6. Ensure all sessions are engaging, hands-on, and aligned with the latest industry trends. 7.Monitor student progress and provide regular feedback. 8. Coordinate with internal teams for lab setup, assessment tools, and technical content development. Technical Skillset Required: 1. Strong knowledge and teaching experience in at least two of the following: Ø Web Development (HTML, CSS, JavaScript, React, Node.js, etc.) Ø Java (Core & Advanced, Spring Boot) Ø Python (with Django/Flask, data handling, etc.) Ø Cybersecurity (basic to advanced concepts, tools, and practical implementation) 2. Familiarity with tools like Git, GitHub, Postman, VS Code, Eclipse/IntelliJ, Linux CLI, etc. 3. Understanding of academic project lifecycle, documentation formats, and college evaluation systems. 4. Excellent presentation, communication, and mentorship skills. Eligibility Criteria: • Bachelor’s/Master’s degree in Computer Science, IT, or related fields. • Minimum 5–6 years of experience as a trainer or software developer with mentoring responsibilities. • Prior experience training college students or interns is a strong advantage. • Passionate about teaching and shaping future tech talent.

Job Title: Full-Stack Automation Lead cum Developer (Python and UiPath) Location: Hazira/Surat Employment Type: Full-time Number of Positions: 2 Experience Required: 4–9 years Job Summary We are seeking a highly skilled and motivated Full-Stack Automation Developer to join our dynamic team. The ideal candidate will bring strong expertise in Python and UiPath, combined with full-stack development capabilities. You will lead the design, development, and deployment of end-to-end automation solutions aimed at optimizing and transforming business processes. Key Responsibilities Design & Development: Build and deploy robust full-stack automation solutions using Python and UiPath. Process Analysis: Collaborate with stakeholders to analyze existing workflows and identify automation opportunities. Frontend Development: Create intuitive and responsive user interfaces for automation tools and dashboards using modern web technologies. Backend Development: Develop and maintain scalable backend services and APIs to support automation tasks. System Integration: Integrate automation workflows with existing systems, databases, and third-party services. Support & Maintenance: Provide ongoing support, troubleshoot issues, and ensure continuous operation of automation solutions. Documentation: Maintain detailed documentation of workflows, systems architecture, and changes. Innovation: Stay updated on emerging technologies and implement industry best practices in automation and full-stack development. Required Qualifications Education Bachelor's degree in Computer Science, Information Technology, or a related field. Experience3–7 years of proven experience in full-stack development and RPA using Python and UiPath. Track record of delivering scalable and maintainable automation solutions. Technical Skills Programming Languages: Proficiency in Python. RPA Tools: Expertise in UiPath – Orchestrator, Studio, and workflow design. Frontend: Strong in HTML, CSS, JavaScript, and modern frameworks (React, Angular, or Vue.js). Backend: Hands-on experience with Flask or Django; familiarity with SQL and NoSQL databases. Integration: Strong knowledge of REST APIs and data exchange techniques. Data & ML: Understanding of statistics, multivariate analysis, ML/DL model deployment. Visualization: Experience with tools like Power BI, matplotlib, or similar. Soft Skills Excellent problem-solving and analytical thinking. Strong verbal and written communication skills. Proactive team player with the ability to work independently. Preferred Qualifications Exposure to additional RPA tools (e.g., Power Automate). Experience with AI/ML technologies and deploying models to production. Familiarity with Agile/Scrum methodologies. Working knowledge of cloud platforms such as AWS, Azure, or GCP.

Internship Summary: We are offering an exciting Full Stack Engineer Internship for aspiring developers who want to build impactful applications that contribute to modernizing e-governance in India. This role provides a unique opportunity to gain practical experience in both front-end and back-end development, contributing to the creation of a user-friendly and multilingual platform. You will work on real-world projects, integrating advanced AI capabilities into the overall system architecture to deliver seamless public services. What You will Do: As a Full Stack Engineer Intern, you will work closely with our engineering team, contributing to the development of our integrated AI platform. Your responsibilities may include: Multilingual User Interface Development: Assist in developing and optimizing dynamic, interactive, and bilingual user interface components using modern web frameworks (e.g., React, Vue, Angular). Backend API Development: Contribute to developing and maintaining backend APIs using Python frameworks (e.g., FastAPI, Flask) that integrate with our core AI components. Data Management & Integration: Help with database management (e.g., PostgreSQL) for storing digitized text, embeddings, metadata, and application data. Support the integration of various system components, ensuring efficient data exchange with existing government software (HRMS, budgeting, case management) via custom APIs. System Performance & Responsiveness: Learn about optimizing retrieval and LLM inference for quick demonstrations, ensuring the pilot system feels responsive. Deployment Support: Participate in the deployment process, including containerization (Docker) for consistent environments and cloud-based deployments Collaboration & Documentation: Actively participate in team discussions, contribute to architectural discussions, and maintain clear documentation of development processes and system functionalities. Who Can Apply: Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning from a Tier 1 or Tier-2 Colleges / Autonomous Institutions. Strong foundational understanding of web development concepts, including front-end and back-end technologies. Proficiency in at least one programming language, preferably Python is mandatory Familiarity with modern web frameworks (e.g., React, Vue, Angular) is a plus. Basic understanding of databases (e.g., PostgreSQL) is preferred. Eagerness to learn and a proactive approach to tasks, with an "MVP mindset" to prioritize core functionality. Strong problem-solving abilities and attention to detail. Ability to work independently and as part of a collaborative team. A strong desire to learn, adapt, and contribute in a fast-paced environment focused on innovation.

Qualifications Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 1 to 3 years of experience in backend Python development. Proficiency in FastAPI and RESTful API design. Basic understanding of RAG pipelines and LLM-based applications. Experience with Git and version control workflows. Familiarity with MS SQL and Cosmos DB. Understanding of security best practices and RBAC. Exposure to DevOps tools, CI/CD, and cloud platforms is a plus. Strong communication and problem-solving skills. Job role Job Summary Sendable is looking for a passionate Python (FastAPI) Engineer with 1–3 years of experience to join our AI/ML-focused product team. You will contribute to the development of backend systems powered by FastAPI , working on RAG (Retrieval-Augmented Generation) pipelines and microservices that support advanced AI/ML applications. Key Responsibilities: Design and develop robust microservices using FastAPI and Python. Build and enhance RAG pipelines for intelligent data retrieval and generation. Develop and maintain efficient REST APIs. Use Infrastructure as Code with Bicep to manage cloud infrastructure. Integrate RBAC (Role-Based Access Control) mechanisms using tools like Oso. Work with MS SQL and Cosmos DB for data storage and management. Collaborate with DevOps, AI teams, and frontend engineers. Ensure code quality, scalability, and performance through testing and clean architecture. Must-Have Skills Python (Core + FastAPI) REST API Development MS SQL / Cosmos DB Git Authentication & Authorization Clean Code Practices Problem Solving Good-to-Have Skills Knowledge of RAG pipelines / LLMs Docker, Kubernetes, or CI/CD Tools Cloud Platforms (Azure, AWS, GCP) Bicep for IaC Event-Driven Architecture Skills:- Django, Flask, FastAPI, Artificial Intelligence (AI) and RAG

C++ Android Middle ware developer (Java) (3 to 6 yrs) Company: HARMAN Connected Services Job Title: C++ Android Middle ware developer (Java) Location: Bangalore, India Experience: 3 to 6 yrs Job Type: Full-time About HARMAN: HARMAN Connected Services is a global leader in connected car technology, lifestyle audio innovations, design and analytics, cloud services, and IoT solutions. We pride ourselves on our innovative culture, where you can collaborate with talented professionals, drive innovation, and develop cutting-edge solutions. At HARMAN, you'll work on a diverse range of projects spanning automotive, audio, IoT, and cloud services. With offices in over 30 countries, we offer a truly global presence and are committed to your professional growth. Our competitive benefits package includes comprehensive compensation, flexible work arrangements, and recognition programs. Join our dynamic, inclusive, and supportive work environment to shape the future of automotive technology. Role Summary We're seeking a trained fresher with expertise in Python and Django Rest Framework (DRF) to join our team. The ideal candidate will have completed training in Python and DRF and is eager to apply their skills in a real-world setting. Key Responsibilities API Development: Develop RESTful APIs using Django Rest Framework. Back-end Development: Assist in developing server-side logic, database integration, and API connectivity. Testing and Debugging: Write unit tests and debug code to ensure high-quality software delivery. Collaboration: Work with senior developers to learn best practices and improve skills. Mandatory Training: Completed training in Python and Django Rest Framework. Technical Skills: Strong understanding of Python programming language. Familiarity with Django and Django Rest Framework. Basic understanding of database management and API development. Soft Skills: Eager to learn and grow. Good communication and collaboration skills. Preferred Experience with Other Python Frameworks: Familiarity with other Python frameworks, such as Flask. Experience with Front-end Development: Basic understanding of front-end development, including HTML, CSS, and JavaScript. What We Offer: Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment Flexible working hours and work-from-home options Access to cutting-edge technologies and tools Recognition and rewards for outstanding performance Chance to work with a renowned German OEM Note: Only candidates who meet the mandatory requirements will be considered. Please provide detailed information about your experience and skills in your application. Are you ready to take your career to the next level? Apply now and join our team of passionate developers to shape the future of automotive technology!

Job Profile Our client is looking for an enthusiastic, self-motivated, hands-on senior Python backend engineer to join the back-end platform engineering team for our partner. Experience with a fast-paced India/US product start-up or a product engineering services company in a developer role, building a high-performance real-time distributed system is mandatory. Applicants having experience in developing and maintaining large scale healthcare systems/platforms are preferred. Applicants must have a passion for engineering with accuracy and efficiency, be highly motivated and organized, able to work as part of a team, and also possess the ability to work independently with minimal supervision. Their Tech Stack Python FastAPI, or other API frameworks GraphQL, Strawberry GraphQL PostgreSQL Will help with knowledge and experience also in the following: Kubernetes GCP Terraform Requirements BTech CS or related discipline with 5+ years of backend experience designing, building and maintaining enterprise web applications and/or APIs with 4+ years working on Python, FastAPI/Flask and Django or related frameworks with expertise on Cloud/AWS, GraphQL, PostgreSQL Experience working closely with product and account support personnel to help prioritise the best solutions to the largest problems. Experience designing and architecting systems to meet high standards of reliability and ease of use. Attention to detail in work and ability to identify ambiguities in specifications. Able to effectively communicate ideas and concepts within your team, across teams, and throughout the organisation, even with non-technical audiences, in both written and verbal forms. Eagerness to work in a cross functional team to help build end-to-end features. Good To Have/Preferred Qualifications Experience working with a start-up. Additional Project/Soft Skills Should be able to work independently with India & US based team members. Strong verbal and written communication with ability to articulate problems and solutions over phone and emails. Strong sense of urgency, with a passion for accuracy and timeliness. Ability to work calmly in high pressure situations and manage multiple projects/tasks. Ability to work independently and possess superior skills in issue resolution. Benefits Comprehensive Insurance (Life, Health, Accident) Flexible Work Model Accelerated learning & non-linear growth Flat organization structure driven by ownership and accountability. Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies Ability to make a global impact with your work, leading innovations in Conversational AI, Tele-Medicine, Healthcare and more. Skills: kubernetes,graphql,gcp,terraform,python,fastapi,postgresql,flask/django,backend development,flask,aws,react,django

JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an AI ML Senior Associate at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities: Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments’ domain. Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency. Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards. Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders. Required qualifications, capabilities, and skills: Formal training or certification on quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) concepts and 3+ years applied experience Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required. Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential. Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms. Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains. Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies. Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes. Preferred Qualifications, capabilities and skills Familiarity working with one or more LLM frameworks like langchain/llamaindex/langgraph/crewAI Familiarity with one or more python API frameworks like FastAPI/Flask/Django Familiarity with building Retrieval Augmented Generation (RAG) based applications. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Company Description: We are a leading company in the area of industrial automations since 2017 in terms of Leakage Test, Flow Test, Vision Inspection Systems, Marking , Servo Pressing Applications , Conveyors and Assembly Automations. History The Company Newtech Test & Automation was founded in 2017 as a proprietorship firm that time we were developing only Leak Testing & SPM Machines, Jigs & Fixtures , Gauges & Assembly automations etc. Soon our customers came from different areas such as aerospace, EV Sector and medical industries then we have extended our portfolios into various categories like Data Logging, End of Line Inspections, Vision Systems & LabVIEW based Testers etc. In 2019 the company was transformed into Nyutech Test & Automation Pvt.Ltd. Role Role Description: This is a full-time on-site role located in Bengaluru for a PLC Programmer. The PLC Programmer will be responsible for developing, programming, Data Traceability and maintaining Python Language Programming, Programmable Logic Controllers (PLCs) for automated industrial machinery , including troubleshooting, and debugging PLC programs.& we prefer who will be having knowledge on LabVIEW program as well. Qualifications Diploma Or Bachelor's or Master’s degree in Electrical, Electronics, or Computer Science Engineering or a related field. Minimum of 3 years’ experience in Python Programming , Programmable Logic Controller Programming for Automated Industrial Machinery. RS232 and RS485 TO MODBUS TCP Communication. Develop and maintain RESTful APIs using Python (FastAPI/Tornado) Translate business requirements into scalable technical solutions Integrate with RDBMS/cloud databases (Postgres, Clickhouse, MS SQL, Snowflake) Data Science & Machine Learning (Good-to-have): Knowledge of data science and machine learning concepts and tools, particularly Python libraries like NumPy, Pandas, TensorFlow, or PyTorch, is an advantage, especially for specialized roles in these areas Implement secure authentication and token-based access Collaborate with cross-functional teams in Agile setups Debug, troubleshoot, and optimize backend systems Use DevOps tools for version control, CI/CD, and package management Handle middleware, caching (Redis), and messaging systems (Kafka or RabbitMQ) Proficiency in PLC Software and Familiarity with HMI, SCADA, and other automation software. Skilled in PLC programming languages such as Ladder Logic, Function Block Diagram and Sequential Function Chart. Expert in Debugging and Troubleshooting, including knowledge of Electrical Circuits and components. Knowledge of PLC Hardware, Networks, and protocols such as EtherNet/IP, Modbus TCP, and PROFIBUS Experience with Siemens, Delta, Beckhoff, Allen Bradley, and Mitsubishi PLCs is preferred. Excellent problem-solving skills and analytical thinking skills. Strong attention to detail and commitment to quality. Experience in motor drive communication, Servo motor programming & pick place gantry etc. Experience on pneumatic cylinder & hydraulics cylinders logic, sensors, camera, scanner etc. Excellent communication skills and ability to work in a team environment. Software Development: Design, develop, and maintain high-quality software using Python. This includes both backend components and integrating user-facing elements. They build applications and features following best practices and coding standards. Debugging and Testing: Debug, test, and troubleshoot issues to ensure the smooth functioning of software applications and maintain code quality. They also participate in code reviews. Data Handling: Work with databases (like MySQL, PostgreSQL, or MongoDB) and implement data storage solutions. They may also be involved in creating large-scale data processing pipelines. Automation: Develop scripts and tools to automate repetitive tasks, improve efficiency, and streamline workflows. Collaboration: Collaborate with cross-functional teams (including project managers, designers, other developers, and stakeholders) to understand project requirements, define project goals, and deliver high-quality solutions. Learning and Adaptability: Stay updated with the latest industry trends, technologies, and best practices in Python development, demonstrating continuous learning and a positive mindset. Security: Implement security and data protection measures, such as authentication and authorization. Key skills and qualifications Proficiency in Python: A strong understanding of Python fundamentals, including syntax, data structures, object-oriented programming concepts (OOP), file handling, and exception handling. Web Frameworks: Experience with popular Python web frameworks like Django and Flask is highly valued, especially for web development roles. Database Management: Proficiency in database systems like MySQL, PostgreSQL, or MongoDB is essential for designing, implementing, and maintaining databases. Version Control: Familiarity with version control systems like Git is crucial for collaborating on projects and managing code changes effectively. Debugging and Testing Tools: Understanding of debugging tools and techniques to identify and fix bugs quickly, along with the ability to write unit and integration tests. Frontend Technologies: Knowledge of frontend technologies like HTML, CSS, and JavaScript is often required, particularly for full-stack developer roles. Familiarity with libraries or frameworks like React or Angular can be an advantage. Problem-Solving and Analytical Skills: Ability to analyze issues, design optimized algorithms, and write clean, efficient code to address complex problems. Communication and Collaboration Skills: Strong communication skills are essential for collaborating with team members, explaining technical concepts, and interacting with stakeholders. Cloud Platforms (Good-to-have): Familiarity with cloud platforms like AWS, Azure, or Google Cloud can be beneficial for deploying and managing applications in scalable environments. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹400,000.00 per year Benefits: Cell phone reimbursement Food provided Health insurance Life insurance Provident Fund Work from home Schedule: Day shift Work Location: In person Speak with the employer +91 9148982973

About the Role We are seeking a proactive and detail-oriented Apache Superset & SQL Expert with 1+ years of experience in the healthcare domain. You’ll be responsible for building insightful BI dashboards and maintaining complex data pipelines to support mission-critical analytics for healthcare operations and compliance reporting. Key Responsibilities Develop and maintain advanced Apache Superset dashboards tailored for healthcare KPIs and operational metrics Write, optimise, and maintain complex SQL queries to extract and transform data from multiple healthcare systems Collaborate with data engineering and clinical teams to define and model datasets for visualisation Ensure dashboards comply with healthcare data governance, privacy (e.g., HIPAA), and audit requirements Monitor performance, implement row-level security, and maintain a robust Superset configuration Translate clinical and operational requirements into meaningful visual stories Required Skills & Experience 1+ years of domain experience in healthcare analytics or working with healthcare datasets (EHR, claims, patient outcomes, etc.) 3+ years of experience working with Apache Superset in a production environment Strong command over SQL, including query tuning, joins, aggregations, and complex transformations Hands-on experience with data modelling and relational database design Solid understanding of clinical terminology, healthcare KPIs, and reporting workflows Experience in working with PostgreSQL, MySQL, or other SQL-based databases Strong documentation, communication, and stakeholder-facing skills Nice-to-Have Familiarity with HIPAA, HL7/FHIR data structures, or other regulatory standards Experience with Python, Flask, or Superset plugin development Exposure to modern healthcare data platforms, dbt, or Airflow Experience integrating Superset with EMR, clinical data lakes, or warehouse systems like Redshift or BigQuery Job Type: Full-time Pay: ₹10,000.00 - ₹20,000.00 per month Schedule: Day shift Work Location: In person Expected Start Date: 19/07/2025

Role: Python developer + Microservices Exp: 5+ yrs Loc: Bangalore Notice period: 0 - 15 days(Immediate Joiners) Skills Required: Python, Microservices, Django, Flask, Restful API Share CV to supriya@purpledrive.com

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Greetings from UST Who we are: Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world. UST is a mission-driven group of over 38,000+ practical problem solvers and creative thinkers in over 30+ countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live. With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world. Job Summary: Notice Period: Immediate to 15 days Mandatory skills: Gen AI, Data Science, Machine Learning, ML Modal Building Experience: 8-12 years Work Location: Any UST location Work Mode: Hybrid (3 Days - Work from Office) Role Overview: We are seeking two highly skilled AI Engineers with strong proficiency in Python and a solid understanding of AI/ML concepts. You will be responsible for developing, training, and optimizing machine learning models, collaborating with cross-functional teams, and contributing to scalable AI solutions in production. This is a hands-on role requiring both theoretical knowledge and practical experience in building AI systems. Roles and Responsibilities: Design, develop, and optimize machine learning and AI models using Python and modern ML frameworks. Collaborate with data scientists, software engineers, and product managers to define AI solution requirements. Perform data preprocessing, cleaning, and feature engineering to prepare datasets for modeling. Conduct model training, validation, and performance evaluation using appropriate metrics. Tune hyperparameters and experiment with model architectures to enhance accuracy and efficiency. Document model workflows, methodologies, and code to ensure transparency and reproducibility. Assist in deploying AI models to production, monitoring performance, and refining them over time. Stay informed on the latest research papers, tools, and best practices in AI and machine learning. Participate in code reviews and maintain high standards for clean and maintainable code. Must-Have Skills: Strong proficiency in Python, with a focus on AI/ML development. Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning). Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in data preprocessing and feature engineering techniques. Familiarity with model evaluation metrics (accuracy, precision, recall, AUC, etc.). Experience working with Jupyter Notebooks and collaborative development tools (Git, etc.). Strong problem-solving skills and ability to work in a fast-paced environment. Good-to-Have Skills: Experience with model deployment tools and platforms (e.g., Docker, Flask, FastAPI, AWS SageMaker). Knowledge of MLOps practices and model lifecycle management. Familiarity with NLP, computer vision, or time series modeling. Understanding of distributed computing frameworks (e.g., Spark, Dask). Experience in using experiment tracking tools like MLflow or Weights & Biases. Exposure to cloud services (AWS, Azure, or GCP) for AI model development and deployment. What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the center of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honor our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

You will be working with Polymer, a smart data loss prevention (DLP) system that offers advanced cloud & AI data security and compliance solutions. By leveraging Polymer, you will play a crucial role in automating data protection processes, reducing data exposure risks, and enabling employees to enhance data security practices seamlessly within their existing workflows. Your responsibilities will include designing, developing, and maintaining ETL processes within large-scale data environments utilizing tools such as Snowflake and BigQuery. You will be tasked with constructing and deploying data pipelines to manage data ingestion, transformation, and loading operations from diverse sources. Additionally, you will create and manage data models and schemas optimized for performance and scalability, leveraging BI tools like QuickSight, Tableau, or Sigma to generate interactive dashboards and reports. Collaboration with stakeholders to grasp business requirements and convert them into technical solutions will be a key aspect of your role. You will communicate complex data insights clearly to both technical and non-technical audiences, proactively identify and resolve data quality issues and performance bottlenecks, and contribute to enhancing the data infrastructure and best practices within the organization. As a qualified candidate, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, or a related field, along with 3-5 years of experience in a data science/engineering role. Proficiency in Python, including experience with Django or Flask, is essential, while expertise in Snowflake and BigQuery is advantageous. Experience with relational databases like MySQL or PostgreSQL, designing ETL processes in large-scale data environments, and working with cloud platforms such as AWS or GCP is highly valued. Your problem-solving and analytical skills, combined with a data-driven mindset, will be crucial in this role. Strong communication, interpersonal skills, and the ability to work both independently and collaboratively within a team are essential attributes. Familiarity with Agile development methodologies will be beneficial for success in this position. This is an onsite opportunity located in Vadodara, Gujarat, India.,

Job Title : Machine Learning Engineer (NLP & Graph Analytics) Company Overview FWS is at the forefront of innovation in AI and ML .We are dedicated to solving complex challenges and creating impactful solutions through the power of artificial intelligence and machine learning. Our team is composed of passionate and driven experts who are committed to pushing the boundaries of what's possible. We are currently seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team and contribute to our next generation of intelligent products. Job Summary We are looking for an experienced Machine Learning Engineer with a strong background in building and deploying sophisticated machine learning models. The ideal candidate will have a proven track record of working with diverse datasets, a deep understanding of natural language processing (NLP), and hands-on experience with state-of-the-art deep learning frameworks. In this role, you will be responsible for the entire lifecycle of machine learning model development, from data acquisition and preprocessingincluding JSON extraction and graph database modeling with Neo4jto training, evaluation, and deployment via APIs. You will work with cutting-edge technologies, including Stanford NLP and large language models like Llama 3.2, to develop innovative solutions that drive our business forward. Key Responsibilities ML Model Development & Optimization : Design, develop, and implement robust machine learning models using Python and its associated libraries. You will be responsible for the end-to-end model lifecycle, including data preprocessing, feature engineering, model training, and performance evaluation. Deep Learning & NLP Utilize your expertise in deep learning with PyTorch to build and fine-tune complex neural networks. A key focus will be on Natural Language Processing (NLP) tasks, leveraging the Stanford NLP library for tasks such as sentiment analysis, named entity recognition, and coreference resolution. Large Language Models (LLMs) Stay at the forefront of AI by working with and fine-tuning large language models, specifically Llama 3.2. You will explore and implement its capabilities for tasks such as text generation, summarization, and question answering. Data Engineering & Analytics Conduct in-depth data analysis and handle complex data pipelines. This includes robust JSON extraction, transformation of semi-structured data, and modeling complex relationships using graph databases like Neo4j to build knowledge graphs that feed our ML systems. API Development & Deployment Develop and maintain scalable RESTful APIs to serve machine learning models in a production environment. Collaborate with our engineering teams to ensure seamless integration and contribute to our MLOps practices for scalability and reliability. Research & Innovation Stay current with the latest advancements in machine learning, deep learning, and NLP. Proactively identify and champion new technologies and techniques that can enhance our products and processes. Qualifications And Skills Educational Background : A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Bachelor's degree with significant relevant experience will also be considered. Programming Proficiency : Expert-level programming skills in Python and a strong command of its data science and machine learning ecosystem (e.g., Pandas, NumPy, Scikit-learn). Deep Learning Expertise : Proven experience in building and deploying deep learning models using PyTorch. Natural Language Processing (NLP) : Demonstrable experience with NLP techniques and libraries, with specific expertise in using the Stanford NLP toolkit. Large Language Models (LLMs) : Hands-on experience with and a strong understanding of large language models, including practical experience with models like Llama 3.2. Data Handling : Strong proficiency in handling and parsing various data formats, with specific experience in JSON extraction and manipulation. API Development : Solid experience in developing and deploying models via RESTful APIs using frameworks like Flask, FastAPI, or Django. Graph Database Knowledge : Experience with graph databases, particularly Neo4j, and understanding of graph data modeling and querying (Cypher). Problem-Solving Skills : Excellent analytical and problem-solving abilities with a talent for tackling complex and ambiguous challenges. Preferred Qualifications Published research in top-tier machine learning or NLP conferences. Experience with MLOps tools and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with other NLP libraries and frameworks (e.g., spaCy, Hugging Face Transformers). Contributions to open-source machine learning projects. (ref:hirist.tech)

You should have at least 5 years of Backend Development experience in Python utilizing RESTful APIs. It is necessary to possess intermediate to advanced level proficiency in Python, along with a solid comprehension of OOP concepts and asynchronous programming. Additionally, you must have a good command over TDD (Test driven development) and hands-on experience using PyTest/Unit test module for mocking third party APIs as part of Unit and Regression tests. Being proficient in Flask/Fast API, SQL Alchemy, and PostgreSQL tech stack is essential. Prior experience in conducting Data/Schema migrations using Alembic will be advantageous. You should also have the capability to debug System/IT service level production issues to identify root causes and implement permanent resolutions to ensure production stability. As a quick learner, you are expected to comprehend requirements effectively in the ModelOps (CI&CD) ecosystem. It is important to observe patterns and draw analogies with existing implementations without feeling overwhelmed by any newly introduced tools/languages during the implementation of functional requirements. Experience with machine learning models leveraging scikit-learn and associated libraries is beneficial. Moreover, exposure to various python frameworks and the ability to evaluate python model performance bottleneck and optimization techniques are essential skills. In terms of secondary skills, understanding NGINX Load Balancers, Istio Service Mesh, and API Gateway is advantageous. Exposure to Pyspark for handling complex data pipelines is also considered a plus.,

Job Title : Senior Python Developer Key Responsibilities Software Development : Design, develop, test, and deploy high-quality Python applications and services. API Development : Build and maintain robust and scalable APIs using frameworks like FastAPI or Flask. Database Management : Design database schemas, write complex SQL queries, and optimize database performance for PostgreSQL. System Design : Contribute to the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. Containerization & Orchestration : Implement and manage applications within containerized environments using Docker and orchestrate deployments with Kubernetes. CI/CD Implementation : Work with CI/CD pipelines to ensure automated testing, deployment, and continuous integration. Troubleshooting & Debugging : Identify, diagnose, and resolve complex technical issues in production and development environments. Code Quality : Ensure code quality through rigorous testing, code reviews, and adherence to best practices. Project Ownership : Take ownership of projects, driving them independently from conception to successful deployment and maintenance. Collaboration : Collaborate effectively with cross-functional teams, including product managers, other engineers, and QA. Required Skills & Experience Python Expertise : 7+ years of professional experience in Python development, with a strong understanding of Pythonic principles and best practices. Web Frameworks : Strong experience with FastAPI (or Flask, with a willingness to quickly adapt and switch to FastAPI). Database Proficiency : Proficiency in PostgreSQL, including advanced SQL querying, database design, indexing strategies, and performance tuning. Containerization & Orchestration : Solid understanding and hands-on experience with Kubernetes for container orchestration and microservices deployment. Development Tools : Experience with Docker for containerization, Git for version control, and implementing/managing CI/CD pipelines (e.g., Jenkins, GitLab CI/CD, GitHub Actions). Data Structures & Algorithms : Strong background in data structures, algorithms, and their practical application in solving complex problems. System Design : Proven ability in designing scalable, resilient, and performant software systems. Independent Work : Demonstrated ability to work independently, take initiative, and drive projects end-to-end with minimal supervision. Communication : Good communication skills, both written and verbal, with the ability to articulate technical concepts clearly and concisely. Education & Certifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Master's degree is a plus. Relevant certifications in Python, cloud platforms, or container technologies are a plus. (ref:hirist.tech)

Bitkraft Technologies LLP is seeking a skilled React Native Developer to join their software engineering team. In this role, you will primarily focus on utilizing the ReactJS framework to develop web projects for the custom services business of the company. As a React Native Developer at Bitkraft, you are expected to have a strong command over various javascript frontend frameworks and third-party libraries. A keen eye for quality visual design and a genuine passion for ensuring an exceptional user experience will be highly advantageous. If you are someone who enjoys tackling challenges, thrives in a collaborative team environment, and is keen on working in a dynamic setting that presents both technical and business-related hurdles, we would love to connect with you. **Essential Skills:** - Proficiency in the following technologies at an intermediate to expert level: - JavaScript, HTML5, and CSS - React Native **Other Essential Skills/Requirements:** - Meticulous attention to detail - Experience working in Agile projects, with familiarity in tools like Jira - Willingness to adapt to new technologies, platforms, and frameworks for upcoming projects - Strong work ethic and commitment to meeting deadlines and supporting team members - Flexibility to collaborate across different time zones with international clients when necessary **Desirable Skills:** - Frontend Knowledge in at least one of the following: - Angular - Vuejs - Backend Knowledge in at least one of the following: - NodeJs - Python (Django/Flask/Jupyter Notebook) - PHP (Yii2/Wordpress/Magento) - Databases Knowledge in at least one of the following: - MySQL - Postgresql - MongoDB - Graph Databases - Oracle - Cloud Infrastructure Knowledge in at least one of the following: - AWS - Azure - Google Cloud / Firebase - Mobile Technologies Knowledge in at least one of the following: - Native Android - Native iOS - Hybrid Mobile App Development - Ionic/Flutter/React Native **Key Responsibilities:** - Understanding and interpreting client requirements to provide technical solutions - Solving business problems through innovative technological approaches - Timely delivery of work with adherence to quality standards - Fostering the development of reusable code - Addressing technical queries from clients, management, and team members - Assessing existing technical architecture and suggesting enhancements - Collaborating with development teams and product managers to conceptualize software solutions - Designing client-side and server-side architecture - Conducting unit testing and scenario-based testing for system robustness - Troubleshooting, debugging, and updating existing applications - Implementing security and data protection measures for application security - Generating technical documentation, flow diagrams, use-case diagrams, and charts as needed - Effective communication with team members and clients for streamlined project operations - Staying updated on the latest advancements in web technologies and related programming languages/frameworks **Experience:** 5 to 8 years **Job Location:** Fort, Mumbai **Why Join Bitkraft:** - Your inputs and opinions are highly valued - Exposure to cutting-edge technologies - Direct collaboration with client teams - International project exposure - Insight into the overall project scope - Fast-paced environment with quick project turnovers - Autonomy to manage your time efficiently - Enjoyable and supportive work environment Bitkraft Technologies LLP: Bitkraft Technologies LLP is an award-winning Software Engineering Consultancy that specializes in Enterprise Software Solutions, Mobile Apps Development, ML/AI Solution Engineering, Extended Reality, Managed Cloud Services, and Technology Skill-sourcing, with a remarkable track record. Driven by technology, the team at Bitkraft pushes boundaries to meet the business requirements of their clients. They are committed to delivering products of the highest quality standards and take pride in developing robust user-centric solutions that cater to business needs. Bitkraft serves clients across over 10+ countries, including the US, UK, UAE, Oman, Australia, and India, among others.,

Location : Ahmedabad. Company Name : Technostacks Infotech Pvt ltd. Key Responsibilities Leadership & Team Management : Lead, mentor, and guide a team of developers in both frontend and backend technologies. Project Architecture Design : Collaborate with cross-functional teams to design and architect end-to-end project solutions, focusing on scalability, security, and performance. Database Architecture : Design and implement highly efficient, reliable, and scalable database systems using PostgreSQL and MongoDB. AWS Expertise : Leverage AWS services (such as EC2, S3, Lambda, RDS, etc.) for cloud-based application solutions and infrastructure management. Serverless & Lambda : Utilize serverless architecture and AWS Lambda for building scalable and cost-efficient applications. Client Interaction : Serve as the point of contact for client communications, translating business requirements into technical solutions and ensuring customer satisfaction. Collaboration : Work closely with other developers, architects, and stakeholders to ensure that the technical vision and strategy are well-executed. Continuous Improvement : Keep up-to-date with emerging technologies and best practices, applying them to improve team efficiency and product quality. Required Skills & Qualifications Backend Development : Strong Python expertise (Django, Flask, FastAPI, or similar frameworks). Frontend Development : Experience with JavaScript, HTML/CSS, and frontend frameworks (React, Angular, or Vue.js) and Node.JS is a plus. Cloud Infrastructure : Proficient in using AWS services such as Lambda, S3, EC2, RDS, etc. Database Management : Strong experience with PostgreSQL and MongoDB; ability to design scalable and efficient database architectures. Serverless Architecture : Experience with designing and implementing serverless applications using AWS Lambda and other serverless components. Utilize AWS services including EC2, S3, Lambda, API Gateway, RDS, DynamoDB, and others to build cloud-based solutions. Team Leadership : Proven experience managing and guiding a team of developers, ensuring project deadlines and client requirements are met. Minimum of 8 years of experience in software development, with at least 3 years in a leadership role. Fluent Communication : Strong written and verbal communication skills to interact with both technical and non-technical stakeholders. Nice To Have Experience with additional cloud platforms such as Azure or Google Cloud. Knowledge of DevOps practices and CI/CD pipelines. (ref:hirist.tech)

As part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering by assisting clients in designing and developing cutting-edge products, content and commerce platforms, and digital experiences. Our focus lies in leveraging AI, Cloud, and Mobile technologies to create solutions that drive digital transformation through a design-led approach. By combining strategic design, engineering expertise, and industry knowledge, we empower our clients to navigate the digital landscape and accelerate their growth. With our headquarters in Silicon Valley, ACL Digital is a prominent player in design-led digital experiences, innovation, enterprise modernization, and product engineering services tailored for the Technology, Media & Telecom sectors. With over 50,000 employees worldwide and a presence in more than 30 countries, ALTEN Group fosters a multicultural work environment that values collaboration and knowledge sharing. In India, we operate from various locations including Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida, and Ahmedabad, while in the USA, we have established offices in California, Atlanta, Philadelphia, and Washington states. As a potential candidate for the position, you are expected to possess the following technical skills and competencies: - 4-5 years of relevant experience in the field - Preferred training/certification in Data Science/Machine Learning - Ability to collaborate effectively with technical leads - Strong communication skills with the capability to synthesize conclusions - Proficiency in Data Science concepts and Machine Learning algorithms using tools like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Falsk framework, Docker, Virtual Environment, and Database Operations - Strong analytical and problem-solving abilities - Capacity to excel in a dynamic environment with varying degrees of ambiguity Your role will involve the following responsibilities and competencies: - Applying data mining, quantitative analysis, and statistical techniques to conduct experiments and derive meaningful insights from data - Understanding business use-cases and collecting annotated datasets from various sources to address specific problems - Possessing a robust academic background with analytical skills and exposure to machine learning and information retrieval technologies - Strong programming skills, particularly in languages like Python, C/C++ - Extracting data from primary and secondary sources, performing data tagging, filtering, and cleaning based on business requirements - Managing a well-defined, structured, and clean database - Utilizing data labeling tools to annotate data for machine learning models - Analyzing data using statistical techniques, conducting exploratory analysis, and interpreting results effectively If you are someone who thrives in a fast-paced environment, enjoys solving complex problems, and has a passion for leveraging data to drive innovation, we welcome you to explore this opportunity with us. Warm Regards, Komal Narole,

As a Python AWS Developer at Willware Technologies, you will utilize your 5+ years of experience to work in a Hybrid / Full-time role in either Bangalore or Gurgaon. Your primary responsibilities will revolve around your strong expertise in Python frameworks such as Django, Flask, FastAPI, and AWS. You must also showcase proficiency in Python libraries like Pandas, NumPy, and SQLAlchemy. One of your key tasks will involve designing, developing, and maintaining RESTful APIs, while ensuring API security through authentication and authorization mechanisms like OAuth and JWT. Your hands-on experience in PL/SQL, particularly in Packages, Functions, and Ref Cursors, will be crucial for the role. Additionally, your strong knowledge in Data Warehouse solutions, Datamart, ODS concepts, data normalization, and Oracle performance optimization will be essential for success in this position. While not mandatory, having experience with Kubernetes for container orchestration and knowledge of deploying, managing, and scaling applications on Kubernetes clusters would be beneficial. Proficiency in AWS services such as EC2, S3, RDS, and Lambda, along with familiarity with Infrastructure-as-Code tools like Terraform and CloudFormation, will further enhance your capabilities. Moreover, any exposure to SnapLogic for cloud-native integration and designing integration pipelines would be considered a good-to-have skill. If you are a dynamic Python AWS Developer looking to contribute your technical skills in a fast-paced environment with a focus on cutting-edge technologies, this role at Willware Technologies is the perfect opportunity for you to grow and excel.,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

As a skilled Python Developer, you will be responsible for supporting the development of key features and improvements for a Client's SaaS platform. You should have familiarity with agentic AI and prompt engineering and will work closely with an extended team including a UI designer, product manager, and infrastructure team to accelerate feature development and implement AI-driven solutions. Your responsibilities will include: - Implementing new functionalities such as chat history, an agile checklist, and a project review interface for feature development. - Improving Flask-based APIs, optimizing SQLAlchemy queries, and managing AI-related API calls for backend API enhancements. - Collaborating on NiceGUI-based front-end improvements to enhance the user experience for UI enhancements. - Leveraging async capabilities for background processing and AI-driven tasks for asynchronous task implementation. - Refactoring and improving the existing codebase for code optimization and maintenance. - Working with the product team to refine requirements and maintain clear technical documentation for collaboration and documentation purposes. Requirements: - Strong Python Skills: You should have at least 3+ years of experience with Python development. - Frontend Knowledge: Experience with NiceGUI or other Python-based UI frameworks is required. - Backend Expertise: Hands-on experience with Flask, SQLAlchemy, and RESTful APIs is necessary. - Asynchronous Processing: Familiarity with async tasks and background job handling is important. - Database Management: Proficiency with PostgreSQL, MySQL, or other relational databases is required. - AI/ML API Integration (Bonus): Experience working with AI models, APIs, or automation tools is a plus. - Version Control: Strong Git skills, including branching, PRs, and CI/CD workflows are needed. - Communication Skills: You should have the ability to work independently while collaborating with a distributed team. Nice To Have: - Experience with project management or checklist automation tools. - Familiarity with containerization (Docker) and cloud infrastructure. This position offers an exciting opportunity to work on a challenging project with a talented team. If you meet the requirements and are passionate about Python development, we encourage you to apply.,

As a fresher, you will be responsible for assisting in the development and maintenance of high-quality, scalable, and efficient applications using Python. You will closely collaborate with senior developers, product managers, and designers to comprehend project requirements and implement functional solutions. Your role will involve contributing to writing clean, efficient, and maintainable code while adhering to best practices for performance and security. Additionally, you will participate in debugging, testing, and optimizing applications to ensure their smooth functionality and reliability. It is expected that you continuously enhance your coding skills through mentorship, feedback, and hands-on experience with Python and related frameworks. Furthermore, staying updated on industry trends, software development best practices, and emerging technologies will be crucial for improving development processes and product innovation. For this role, you should possess a strong understanding of Python and have a passion for building efficient and scalable applications. Familiarity with software development concepts, including data structures, algorithms, and object-oriented programming, is required. Basic knowledge of web frameworks like Django or Flask, along with database management and API integration, will be advantageous. Understanding version control systems like Git and collaboration tools such as JIRA and Confluence is also necessary. Your problem-solving skills, attention to detail, and willingness to learn and adapt to new technologies will be essential for success in this position. Moreover, your eagerness to collaborate with senior developers, product managers, and other stakeholders to contribute to real-world projects and enhance your development skills will be highly valued. When you join us, you will enjoy recognition right from the joining date and become a part of our efficient team. Our work schedule allows for five days of work from Monday to Friday with flexible 9-hour working hours and a 1-hour break. This setup enables you to balance your work and personal life effectively. You will have the support of a management team that is committed to helping you achieve success. Additionally, you will have ample learning and growth opportunities, the chance to work with great clients, access to best-in-class facilities and modern infrastructure, and the opportunity to work with an award-winning company. We offer attractive perks and benefits along with competitive salary packages. Furthermore, you can enjoy fun activities and teamwork while working here. Join us and thrive in your career scope as you earn deserving salary packages, unlock endless career growth opportunities, get inspired by challenging projects, and enjoy comprehensive health insurance coverage for your family. Our flexible working hours allow you to balance your professional and personal life effectively, while paid holidays and training programs help you rejuvenate and develop your skills. You will work in a supportive environment that fosters learning and success in your career.,