You are an experienced Full Stack Developer with 4 to 8 years of expertise, and your role will involve a robust understanding of Windows and web-based application development, both front-end and back-end, along with excellent database management skills. Your responsibilities will include developing web applications, collaborating with other teams for product infrastructure, implementing security measures, ensuring application performance and quality, optimizing web applications for speed and scalability, and staying updated with industry trends. You will design, develop, and maintain multiple applications using C# .Net, SQL Server Database, read and develop XML schema, implement security measures, develop efficient data structures, identify and solve bottlenecks and bugs, maintain code quality, write documentation for software components, and optimize web applications. You should have strong analytical and problem-solving skills, excellent communication and teamwork skills, and a can-do attitude. Additionally, you must be ready to learn new technologies and implement new solutions. Your experience should include 4 to 8 years of full stack development with a strong focus on C# .Net based windows and web applications. You should have excellent skills in database management and optimization (SQL Server, MySQL etc.), proficiency in front-end technologies like HTML5, CSS3, JavaScript, knowledge about Angular, Material UI will be an added advantage. Experience with version control systems like Git, integrating third-party APIs, writing and maintaining unit tests, Agile/Scrum methodologies, and familiarity with version control systems such as Git are also required.,
The role of .Net Contractor requires 4-6 years of experience and is based in Pune. As a .Net Contractor, your responsibilities will include designing, implementing, and maintaining .Net applications. You will be involved in developing code, debugging issues, and collaborating with team members to deliver high-quality software solutions. Participation in code reviews, writing unit tests, and ensuring that software projects meet quality standards and deadlines are also part of your role. To excel in this position, you should have proficiency in .Net Framework, .Net Core, and C#. Experience with ASP.Net, MVC, Web API, and RESTful services is essential. A strong understanding of SQL Server, database design, and familiarity with front-end technologies like HTML, CSS, and JavaScript are required. Excellent problem-solving and debugging skills, along with the ability to work collaboratively in a team environment, are crucial. A Bachelor's degree in Computer Science, Engineering, or a related field is necessary. Experience with Agile/Scrum methodologies is a plus. Strong verbal and written communication skills are essential for effective interaction with team members and stakeholders. Moreover, knowledge of string operations with regular expressions to build a language parser will be beneficial for this role.,
We are hiring QA Leads with strong expertise in ETL testing, AWS, SQL, and Snowflake . The role demands 6–10 years of experience in validating large-scale data pipelines and ensuring accuracy, reliability, and scalability of data engineering solutions. Overview As a QA Lead, you will be responsible for owning the end-to-end testing lifecycle for cloud-based data platforms. You will lead validation efforts, design testing strategies, and ensure high-quality releases of ETL workflows and Snowflake-based data models. Experience Required: 6–10 Years Location: Hybrid / Remote (Pune, Bangalore, Gurugram, Hyderabad) Key Responsibilities Lead QA strategy and execution for ETL, Snowflake, and AWS-based solutions. Design and implement test plans, test cases, and automation scripts for data validation. Perform strong SQL testing for data transformations, aggregations, and performance. Validate integrations across ETL tools, Snowflake, and AWS services. Collaborate with developers, data engineers, and product teams to ensure defect-free releases. Drive adoption of QA best practices, automation frameworks, and reporting standards. Requirements 6–10 years of experience in QA/testing, with at least 3+ years in data/ETL QA. Strong expertise in AWS services relevant to data workflows. Hands-on experience in ETL testing, SQL validation, and Snowflake. Proven ability to design and execute end-to-end QA processes. Strong leadership, communication, and stakeholder management skills. Nice to Have Experience in Agile/Scrum QA environments. Knowledge of test automation tools for data validation (e.g., Pytest, DBT tests). Exposure to data governance and compliance testing. Prior experience in performance testing of data pipelines. #QALead#DataEngineering#ETLtesting#AWS#SQL#Snowflake#Hybrid/Remote#India
You are a Senior Data Engineer with 8-12 years of experience in Azure and cloud-native data platforms. This remote role across the US requires you to independently design and deliver enterprise-grade data engineering solutions while collaborating with distributed teams. Key Responsibilities: - Lead the design and development of Azure-based data engineering solutions. - Build and optimize ETL/ELT workflows using PySpark, DBT, Spark, and ADF. - Model, manage, and optimize data warehouses in Snowflake. - Write and tune complex SQL queries for performance and reliability. - Collaborate with product, QA, and analytics teams to deliver high-quality data. - Ensure data governance, lineage, and cost optimization in cloud environments. Qualifications Required: - 8-12 years of experience in data engineering. - Strong hands-on expertise in Azure Data Engineering stack (ADF, Data Lake, Synapse, etc.). - Proficiency with PySpark, Spark, DBT, Snowflake, and SQL. - Proven ability to design and deliver end-to-end cloud-native pipelines. - Excellent communication, problem-solving, and remote collaboration skills. Additional Details: The company is looking for professionals with experience in real-time/streaming pipelines (Event Hubs, Kafka, Kinesis), exposure to data DevOps (CI/CD for data workflows), knowledge of machine learning data prep workflows, and prior experience in multi-cloud (AWS + Azure) ecosystems.,
You are a passionate and skilled MERN Full Stack Developer looking to join a growing team. You should have hands-on experience in building scalable, high-performance web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) and possess a strong problem-solving mindset. **Key Responsibilities:** - Design, develop, test, and deploy robust web applications using the MERN stack. - Collaborate with cross-functional teams (UI/UX, product managers, QA) to translate requirements into technical solutions. - Write clean, maintainable, and scalable code following best practices. - Optimise application performance for maximum speed and scalability. - Integrate RESTful APIs, third-party services, and databases. - Troubleshoot, debug, and upgrade existing applications. - Stay updated with emerging technologies and propose innovative solutions. **Required Skills & Experience:** - 3-8 years of professional experience in MERN full-stack development. - Strong proficiency in JavaScript (ES6+) and TypeScript (preferred). - Hands-on experience with React.js, Node.js, Express.js, and MongoDB. - Good understanding of Redux, React Hooks, and Context API. - Strong knowledge of REST APIs / GraphQL. - Familiarity with microservices architecture and cloud platforms (AWS/Azure/GCP) is a plus. - Proficiency in Git, CI/CD pipelines, and Agile/Scrum methodologies. - Strong problem-solving, debugging, and analytical skills. **Good to Have:** - Experience with Next.js or React Native. - Knowledge of containerization tools (Docker, Kubernetes). - Experience in unit testing and test automation frameworks. - Domain knowledge of cybersecurity. - Experience with IAM, or secure web development practices. If you are someone passionate about building scalable applications and excited to work with cutting-edge technologies in a collaborative and growth-driven work culture, this opportunity to work on challenging projects with competitive compensation awaits you!,
Job Summary: We are looking for a versatile and results-driven Data Scientist / Machine Learning Developer with 7+ years of experience to join our dynamic team. The ideal candidate will have a strong background in both data science and machine learning, capable of handling end-to-end processes from data analysis and feature engineering to model deployment and monitoring. This role demands a proactive and collaborative mindset, working closely with product owners and engineering teams to deliver scalable, production-ready ML solutions. You will take ownership of the entire model lifecycle driving experimentation, validation, deployment, and continuous optimization to create high-impact, AI-powered business value. Job Type : Hybrid, Full-Time Primary Work Location: Pune In this Role, Your Responsibilities Will Be: Develop, train and deploy machine learning, deep learning AI models for a variety of business use cases such as classification, prediction, recommendation, NLP and Image Processing. Design and implement end-to-end ML workflows from data ingestion and preprocessing to model deployment and monitoring. Collect, clean, and preprocess structured and unstructured data from multiple sources using industry-standard techniques such as normalization, feature engineering, dimensionality reduction, and optimization. Perform exploratory data analysis (EDA) to identify patterns, correlations, and actionable insights. Apply advanced knowledge of machine learning algorithms including regression, classification, clustering, decision trees, ensemble methods, and neural networks. Use Azure ML Studio, TensorFlow, PyTorch, and other ML frameworks to implement and optimize model architectures. Perform hyperparameter tuning, cross-validation, and performance evaluation using industry-standard metrics to ensure model robustness and accuracy. Integrate models and services into business applications through RESTful APIs developed using FastAPI, Flask or Django. Build and maintain scalable and reusable ML components and pipelines using Azure ML Studio, Kubeflow, and MLflow. Enforce and integrate AI guardrails: bias mitigation, security practices, explainability, compliance with ethical and regulatory standards. Deploy models in production using Docker and Kubernetes, ensuring scalability, high availability, and fault tolerance. Utilize Azure AI services and infrastructure for development, training, inferencing, and model lifecycle management. Support and collaborate on the integration of large language models (LLMs), embeddings, vector databases, and RAG techniques where applicable. Monitor deployed models for drift, performance degradation, and data quality issues, and implement retraining workflows as needed. Collaborate with cross-functional teams including software engineers, product managers, business analysts, and architects to define and deliver AI-driven solutions. Communicate complex ML concepts, model outputs, and technical findings clearly to both technical and non-technical stakeholders. Stay current with the latest research, trends, and advancements in AI/ML and evaluate new tools and frameworks for potential adoption. Maintain comprehensive documentation of data pipelines, model architectures, training configurations, deployment steps, and experiment results. Drive innovation through experimentation, rapid prototyping, and the development of future-ready AI components and best practices. Write modular, maintainable, and production-ready code in Python with proper documentation and version control. Contribute to building reusable components and ML accelerators. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field over 7+ years . Proven experience as a Data Scientist, ML Developer, or in a similar role. Strong command of Python and ML libraries (e.g., Azure ML Studio, scikit-learn, TensorFlow, PyTorch, XGBoost). Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modelling, supervised/unsupervised learning, time-series forecasting, and NLP. Proficiency in Python Strong knowledge of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and statistical analysis techniques. Proficiency in programming languages such as Python, R, or SQL. Experience with data preprocessing, feature engineering, and model evaluation techniques. MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control. Familiarity with cloud platforms (e.g., Azure (Primarily), AWS and deployment tools. Knowledge of DevOps platform. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Qualifications: Proficiency in Python, with libraries like pandas, NumPy, scikit-learn, spacy, NLTK and Tensor Flow, Pytorch Knowledge of natural language processing (NLP) and custom/computer, YoLo vision techniques. Experience with Graph ML, reinforcement learning, or causal inference modeling. Familiarity with marketing analytics, attribution modelling, and A/B testing methodologies. Working knowledge of BI tools for integrating ML insights into dashboards. Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process Familiarity with DevOps practices and CI/CD pipelines. Experience with big data technologies (e.g., Hadoop, Spark) is added advantage Certifications in AI/ML
Job Summary: We are seeking an experienced Generative & Agentic AI Developer with 7+ years of IT experience, including strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agent-based AI systems. This role focuses on developing and deploying advanced GenAI applications and autonomous Agentic AI workflows that enable intelligent automation, reasoning, and decision-making. The ideal candidate will have hands-on proficiency with Python, AI/ML frameworks, multi-agent orchestration platforms, prompt engineering and cloud-native environments to ensure scalable, secure, and production-ready solutions. Job Type: Hybrid, Full-Time Primary Work Location: Pune In this Role, Your Responsibilities Will Be: Design, fine-tune, and deploy advanced GenAI models (LLMs, Diffusion, GANs, VAEs, Transformers, GNNs) for multimodal, NLP, and autonomous agentic applications. Engineer end-to-end RAG pipelines and multi-agent workflows using LangChain, AutoGen, Copilot, MCP. Integrate vector DBs (PostreSQL, Pinecone, Weaviate, Chroma, FAISS, Redis) and graph DBs (Neo4j, Postgres/pgvector) for semantic retrieval and contextual reasoning. Optimize foundation models (GPT-4, LLaMA, Mistral, Falcon) via prompt engineering, RLHF, LoRA, quantization, and hyperparameter tuning. Build scalable AI solutions using Azure AI/ML (preferred) with containerized deployments (Docker, Kubernetes). Apply MLOps best practices: CI/CD, model versioning, drift detection, observability, and lifecycle management with MLflow, Kubeflow, Airflow, and monitoring tools. Develop secure AI pipelines and APIs with Python, FastAPI/Flask, RBAC, OAuth2, JWT, and encryption standards. Conduct model optimization: prompt engineering , hyperparameter tuning, cross-validation, and performance monitoring. Use tools like Azure Machine Learning , OpenAI API, HuggingFace, or custom PyTorch/TensorFlow-based models. Implement AI safety, bias mitigation, interpretability (SHAP, LIME, and compliance guardrails (GDPR, HIPAA, ISO). Collaborate with cross-functional teams to deliver enterprise-grade copilots, assistants, and reusable AI components. Document AI design, model workflows, and deployment pipelines for audit readiness and knowledge sharing. Build scalable AI applications using MLOps, CICD, containerization (Docker, Kubernetes) and deploy on Azure AI Infrastructure (preferred) or AWS if needed. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field over 7+ years. Proven experience as a Gen AI Developer or in a similar role and proficiency in Python Strong Experience with Agentic Solution Development, RAG, Deep Learning, Prompt Engineering, Natural Language Processing (NLP), computer vision, optimization while maintaining performance techniques. Strong understanding and practical knowledge of LLMs, embeddings, RAG , and Vector Search . Proficient in prompt engineering and conversational AI solution design. Experience with AI on Azure (must) , including Azure OpenAI, Azure ML, and related services. Deep hands-on experience in Python , CUDA, SQL, proficient with TensorFlow, PyTorch, Keras . Familiarity with security, bias mitigation , and responsible AI frameworks . Experience with MLOps practices and tools for deploying, tracking, and updating models. Knowledge of ML algorithms (e.g., CNNs, RNNs, SVMs, Random Forests, k-NN, Naïve Bayes). Excellent problem-solving, communication, and team collaboration skills. Preferred Qualifications: Certifications in AI/ML from Microsoft, AWS or Coursera/edX. Exposure to enterprise use cases in industries such as manufacturing, finance and other. Experience with AutoML, LLMOps, and performance benchmarking tools. Understanding of semantic search, knowledge graphs, and contextual recommendation engines. Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process Certified in Azure AI Fundamentals (AI-900), Azure AI Engineer Associate (AI-102), Azure Developer Associate, Experience with big data technologies
As a versatile and results-driven Data Scientist / Machine Learning Developer with 7+ years of experience, you will play a crucial role in developing and deploying machine learning models for various business use cases. Your proactive and collaborative mindset will be essential as you work closely with product owners and engineering teams to deliver scalable, production-ready ML solutions. Your responsibilities will include: - Developing, training, and deploying machine learning, deep learning AI models for tasks such as classification, prediction, recommendation, NLP, and Image Processing. - Designing and implementing end-to-end ML workflows, from data ingestion and preprocessing to model deployment and monitoring. - Collecting, cleaning, and preprocessing structured and unstructured data from multiple sources using industry-standard techniques. - Performing exploratory data analysis to identify patterns, correlations, and actionable insights. - Applying advanced knowledge of various machine learning algorithms and frameworks to optimize model architectures. - Integrating models and services into business applications through RESTful APIs developed using FastAPI, Flask, or Django. - Building and maintaining scalable and reusable ML components and pipelines using industry-standard tools. - Enforcing and integrating AI guardrails, ensuring compliance with ethical and regulatory standards. - Deploying models in production using Docker and Kubernetes for scalability and fault tolerance. - Monitoring deployed models for drift, performance degradation, and data quality issues, and implementing retraining workflows as needed. - Collaborating with cross-functional teams to define and deliver AI-driven solutions. - Communicating complex ML concepts and technical findings clearly to both technical and non-technical stakeholders. - Staying current with the latest research and advancements in AI/ML and evaluating new tools and frameworks for potential adoption. - Maintaining comprehensive documentation of data pipelines, model architectures, deployment steps, and experiment results. - Driving innovation through experimentation, rapid prototyping, and the development of future-ready AI components. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field with over 7+ years of experience. - Proven experience as a Data Scientist, ML Developer, or in a similar role. - Strong command of Python and ML libraries. - Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration. - Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Proficiency in programming languages such as Python, R, or SQL. - Hands-on experience with CI/CD pipelines, model monitoring, and version control. - Familiarity with cloud platforms, deployment tools, and DevOps practices. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Qualifications: - Proficiency in Python with libraries like pandas, NumPy, scikit-learn, spacy, NLTK, TensorFlow, and PyTorch. - Knowledge of NLP and vision techniques. - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Working knowledge of BI tools for integrating ML insights into dashboards. - Hands-on MLOps experience and familiarity with DevOps practices. - Experience with big data technologies is an added advantage. - Certifications in AI/ML.,
Role Overview: As a Senior Data Engineer with 8-12 years of experience in Azure and cloud-native data platforms, you will be responsible for independently designing and delivering enterprise-grade data engineering solutions while collaborating with distributed teams. This remote role across the US is suited for professionals who can architect and implement scalable data pipelines leveraging Azure, PySpark, DBT, Spark, Snowflake, and ADF. Your primary focus will be on ensuring seamless data availability, quality, and performance while adhering to best practices in governance and security. Key Responsibilities: - Lead the design and development of Azure-based data engineering solutions. - Build and optimize ETL/ELT workflows using PySpark, DBT, Spark, and ADF. - Model, manage, and optimize data warehouses in Snowflake. - Write and tune complex SQL queries for performance and reliability. - Collaborate with product, QA, and analytics teams to deliver high-quality data. - Ensure data governance, lineage, and cost optimization in cloud environments. Qualifications Required: - 8-12 years of experience in data engineering. - Strong hands-on expertise in Azure Data Engineering stack (ADF, Data Lake, Synapse, etc.). - Proficiency with PySpark, Spark, DBT, Snowflake, and SQL. - Proven ability to design and deliver end-to-end cloud-native pipelines. - Excellent communication, problem-solving, and remote collaboration skills. Additional Details: - Work Authorization: Only Green Card holders or valid H1B will be considered. - Location: US Remote - Nice to Have: - Experience in real-time/streaming pipelines (Event Hubs, Kafka, Kinesis). - Exposure to data DevOps (CI/CD for data workflows). - Knowledge of machine learning data prep workflows. - Prior experience in multi-cloud (AWS + Azure) ecosystems.,