We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Software Engineers with minimum 3 years exp in Java, Fullstack, Python, Data Science, Data Engineer etc Java Developers Mini 3 Years Exp in Core Java, Sprig Boot, Micro Services, Hibernetes Fullstack Developers Mini 3 Years Exp Angular, Javascript, NodeJS, React, Rest API Python Developers Mini 3 Years Exp - Python, OOPS, Shell Scripting, Web Application Data Science Mini 3 Years Exp -AI ML, Predictive Analytics, CV, NLP Data Engineer Mini 3 Exp in Python, Spark , PySpark, Hadoop, MySQL Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* Please send us your resume to chennai.walkin@blackstraw.ai *Kindly fill up below form to submit you registration form: https://forms.gle/CPwJoqHco2PCBXCr8 Preference will be given for Immediate Joiners or who can join within 10-15 days.

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Software Engineers with minimum 3 years exp in Java. Java Developers Mini 3 Years Exp in Core Java, Sprig Boot, Micro Services, Hibernetes Job Summary: Java developer roles and responsibilities include managing Java application development while providing expertise in the full software development lifecycle, from concept and design to testing. You will also be needed to document the steps and procedures followed while coding. Familiarity with Agile methodologies is a must. Key Responsibilities: Follow/maintain an agile methodology for delivering on project milestones. A strong sense of ownership of the code with an attention to detail. Excellent troubleshooting and debugging skills. Maintain documentation of all coding decisions and maintain documentation of the code itself. Should possess strong analytical and problem-solving skills. Capabilities to write and execute unit test cases Ability to understand and communicate about data, infrastructure, workflow, and solution context technical specifications with the client as well as internal stakeholders. Organizational skills, a keen sense of priority and a proven ability to proactively identify and resolve problems. Excellent oral, presentation, and written communication skills Should be familiar with Object Oriented Design patterns. Preferred Qualifications: Bachelor's degree in Computer Science. Minimum of 3 years of JAVA development. Experience with development methodologies such as Agile & SCRUM. Must have solid experience in the following items: Core Java, Java 8, Spring, Spring Boot , Micro Services , GIT, Hibernate , Design Pattern JPA, Postgre, Azure, Jenkins, Maven. Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate ) Working knowledge of version control software such as Git, SVN etc... Hands on experience with Rest API development Strong working experience with J2EE internals such as Classloading, Memory Management, Transaction management, Resource Management, Multi Threading, etc.. Key Traits: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate with offshore and onshore teams. Be a problem solver and be proactive to solve the challenges that come his/her way. Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* Please send us your resume to chennai.walkin@blackstraw.ai *Kindly fill up below form to submit you registration form: https://forms.gle/hirT1ZADjqhmDKX67 Preference will be given for Immediate Joiners or who can join within 10-15 days.

We are looking for a Senior Data Engineer to join our team. You will use various methods to transform raw data into useful data systems. You'll strive for efficiency by aligning data systems with business goals. To succeed in this position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and an understanding of machine learning methods. If you are detail-oriented, with excellent organizational skills and experience in this field, wed like to hear from you. Job Requirements Participate in the customer's system design meetings and collect the functional/technical requirements. Responsible to meet the customer expectations on real-time data integrity and implementing efficient solutions A clear understanding of Spark, Hive, Kafka, and RDBMS architecture. Experience in writing Scala/Python programs and SQL queries. Suggest and implement best practices in data integration. Guide the QA team in defining system integration tests as needed. Split the planned deliverables into tasks and assign them to the team. Good to have: Knowledge of CI/CD concepts, Apache Kafka Key traits: Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment. Be a problem solver and be proactive to solve the challenges that come his way.

Data Engineering Lead Company Name: Blackstraw.ai Oce Location: Chennai (Work from Office) Job Type: Full-time Experience: 10 - 15 Years Candidates who can join immediately will be preferred. Job Description: As a lead data engineer you will oversee data architecture, ETL processes, and analytics pipelines, ensuring efficiency, scalability, and quality. Key Responsibilities: Working with clients to understand their data. Based on the understanding you will be building the data structures and pipelines. You will be working on the application from end to end collaborating with UI and other development teams. You will be working with various cloud providers such as Azure & AWS. You will be engineering data using the Hadoop/Spark ecosystem. You will be responsible for designing, building, optimizing and supporting new and existing data pipelines. Orchestrating jobs using various tools such Oozie, Airflow, etc. Developing programs for cleaning and processing data. You will be responsible for building the data pipelines to migrate and load the data into the HDFS either on-prem or in the cloud. Developing Data ingestion/process/integration pipelines effectively. Creating Hive data structures,metadata and loading the data into data lakes / BigData warehouse environments. Optimized (Performance tuning) many data pipelines effectively to minimize cost. Code versioning control and git repository is up to date. You should be able to explain the data pipeline to internal and external stakeholders. You will be responsible for building and maintaining CI/CD of the data pipelines. You will be managing the unit testing of all data pipelines. Tech Stack: Minimum of 5+ years working experience with Spark, Hadoop eco systems. Minimum of 4+ years working experience on designing data streaming pipelines. Should be an expert in either Python/Scala/Java. Should have experience in Data Ingestion and Integration into data lake using hadoop ecosystem tools such as Sqoop, Spark, SQL, Hive, Airflow, etc.. Should have experience optimizing (Performance tuning) data pipelines. Should have minimum experience of 3+ years on NoSQL and Spark Streaming. Knowledge of Kubernetes and Docker is a plus. Should have experience with Cloud services either Azure/AWS. Should have experience with on-prem distribution such as Cloudera/HortonWorks/MapR. Basic understanding of CI/CD pipelines. Basic knowledge of Linux environment and commands. Preferred Qualifications: Bachelors degree in computer science or related field. Proven experience with big data ecosystem tools such as Sqoop, Spark, SQL, API, Hive, Oozie, Airflow, etc.. Solid experience in all phases of SDLC with 10+ years of experience (plan, design, develop, test, release, maintain and support) Hands-on experience using Azures data engineering stack. Should have implemented projects using programming languages such as Scala or Python. Working experience on SQL complex data merging techniques such as windowing functions etc.. Hands-on experience with on-prem distribution tools such as Cloudera/HortonWorks/MapR. Should have excellent communication, presentation and problem solving skills. Key Traits: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate with on shore and offshore teams. Be a problem solver and be proactive to solve the challenges that come his way.

Bachelor's degree in Computer Science, Information Technology with 5+ years of equivalent experience. Minimum of 5 years of JAVA development. Experience with development methodologies such as Agile or SCRUM Must have solid experience in the following items: Core Java, Java 8, Spring, Spring Boot , REST API , GIT, Hibernate , Design Pattern JPA, Postgre, Azure, Jenkins, Maven. Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate, etc.. ) Working knowledge of version control software such as Git, SVN etc... Hands on experience with API development Knowledge of Microservices will be a bonus. Strong working experience with Java and JEE internals (Classloading, Memory Management, Transaction management, Resource Management, Multi Threading, etc...)

About Us : We are a dynamic and innovative team specializing in building scalable and efficient web scraping solutions for complex e-commerce platforms and diverse web environments. Our team is proficient in a wide range of technologies and advanced web scraping techniques, ensuring high-quality data extraction and delivery Job Summary: We are seeking a talented Web Scraping Engineer / Data Extraction Specialist to join our growing team. The ideal candidate will have a strong background in web scraping, data extraction, and backend technologies. You will be responsible for designing, developing, and maintaining robust web scraping solutions, handling dynamic content, and overcoming anti-crawling measures. Responsibilities: Develop and maintain scalable web scraping scripts using Python, JavaScript, and related frameworks (e.g., Scrapy, Selenium, Puppeteer, Beautiful Soup, Cheerio.js). Implement advanced web scraping techniques, including API interception, sitemap parsing, and handling dynamic content. Design and build data pipelines for efficient data extraction, processing, and storage. Manage and optimize data extraction workflows, ensuring high speed and accuracy. Implement anti-crawling solutions, including IP rotation, proxy management, and CAPTCHA bypassing. Collaborate with cross-functional teams to gather requirements and deliver complex data solutions. Utilize backend technologies such as Flask, FastAPI, Django, Node.js, Spring Boot, and relational databases (PostgreSQL, MySQL) for data storage and API development. Work with cloud platforms like Azure and leverage services such as AzureML and ADLS GEN2. Employ data processing techniques using libraries like NumPy and Pandas. Use tools like Postman, MITM, and DevTools for API testing and network traffic analysis. Apply machine learning and NLP techniques for data analysis and processing (e.g., sentiment analysis, content classification). Set up and manage server-side scraping environments. Monitor and troubleshoot scraping scripts to ensure optimal performance. Required Skills: Strong proficiency in Python and/or JavaScript. Experience with web scraping libraries and frameworks (Scrapy, Selenium, Puppeteer, Beautiful Soup, Cheerio.js). Knowledge of backend technologies (Flask, FastAPI, Django, Node.js, Spring Boot). Experience with relational databases (PostgreSQL, MySQL). Understanding of HTTP/HTTPS protocols and API communication. Familiarity with cloud platforms (Azure). Ability to handle dynamic content and JavaScript-heavy websites. Experience with anti-crawling techniques (IP rotation, proxies, CAPTCHA bypassing). Data processing and analysis skills (NumPy, Pandas). Experience with API testing tools (Postman). Knowledge of machine learning and NLP concepts is a plus. Strong problem-solving and debugging skills. Excellent communication and collaboration skills. Experience: 3+ years of professional experience in web scraping or related fields. Education: Bachelor's degree in Computer Science, Engineering, or a related field

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Senior Software Engineers with minimum 7 years exp in Java, Python, Fullstack, Data Science, AI & ML, Mobile Lead ( Android & iOS) and Data Engineer etc Sr Java Mini 7 Years Exp in Java, Spring Boot, Micro Services , Hibernates Sr Fullstack Developers Mini 7 Years Exp Angular, Javascript, NodeJS, React, Rest API Sr Python Developers Mini 7 Years Exp - Python, Flask, RestAPI, OOPS, Shell Scripting, Web Application Sr Data Science Mini 7 Years Exp Exp -AI ML, Predictive Analytics, CV, NLP Sr Data Engineer Mini 7 Years Exp in Python, Spark , PySpark, MySQL Sr Mobile Development Mini 7 Years Exp in both Android and iOS, Kotlin, , Objective C Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* Please send us your resume to chennai.walkin@blackstraw.ai *Kindly fill up below form to submit you registration form: https://forms.gle/Kah2j85EJK8rCStB9 Preference will be given for Immediate Joiners or who can join within 10-15 days.

About Us : We are a dynamic and innovative team specializing in building scalable and efficient web scraping solutions for complex e-commerce platforms and diverse web environments. Our team is proficient in a wide range of technologies and advanced web scraping techniques, ensuring high-quality data extraction and delivery Job Summary: We are seeking a talented Web Scraping Engineer / Data Extraction Specialist to join our growing team. The ideal candidate will have a strong background in web scraping, data extraction, and backend technologies. You will be responsible for designing, developing, and maintaining robust web scraping solutions, handling dynamic content, and overcoming anti-crawling measures. Responsibilities: Develop and maintain scalable web scraping scripts using Python, JavaScript, and related frameworks (e.g., Scrapy, Selenium, Puppeteer, Beautiful Soup, Cheerio.js). Implement advanced web scraping techniques, including API interception, sitemap parsing, and handling dynamic content. Design and build data pipelines for efficient data extraction, processing, and storage. Manage and optimize data extraction workflows, ensuring high speed and accuracy. Implement anti-crawling solutions, including IP rotation, proxy management, and CAPTCHA bypassing. Collaborate with cross-functional teams to gather requirements and deliver complex data solutions. Utilize backend technologies such as Flask, FastAPI, Django, Node.js, Spring Boot, and relational databases (PostgreSQL, MySQL) for data storage and API development. Work with cloud platforms like Azure and leverage services such as AzureML and ADLS GEN2. Employ data processing techniques using libraries like NumPy and Pandas. Use tools like Postman, MITM, and DevTools for API testing and network traffic analysis. Apply machine learning and NLP techniques for data analysis and processing (e.g., sentiment analysis, content classification). Set up and manage server-side scraping environments. Monitor and troubleshoot scraping scripts to ensure optimal performance. Required Skills: Strong proficiency in Python and/or JavaScript. Experience with web scraping libraries and frameworks (Scrapy, Selenium, Puppeteer, Beautiful Soup, Cheerio.js). Knowledge of backend technologies (Flask, FastAPI, Django, Node.js, Spring Boot). Experience with relational databases (PostgreSQL, MySQL). Understanding of HTTP/HTTPS protocols and API communication. Familiarity with cloud platforms (Azure). Ability to handle dynamic content and JavaScript-heavy websites. Experience with anti-crawling techniques (IP rotation, proxies, CAPTCHA bypassing). Data processing and analysis skills (NumPy, Pandas). Experience with API testing tools (Postman). Knowledge of machine learning and NLP concepts is a plus. Strong problem-solving and debugging skills. Excellent communication and collaboration skills. Experience: 5+ years of professional experience in web scraping or related fields. Education: Bachelor's degree in Computer Science, Engineering, or a related field

Role & responsibilities: You will work with the design team and build a unique, front end UI with a stable and scalable backend infrastructure. You need to have the ability to always keep the big picture of the application in mind and work accordingly. Key responsibilities for this position include: Participate in technical evaluations and proof of concept work. Experience developing desktop and cross platform mobile applications. Must have detailed experience in at least one backend technology as well as database design and development. Follow/maintain an agile methodology including assigning point values to new features and delivering in a manner which is consistent with those points. Responsible for understanding of the entire code base, architectural considerations, build process, design and design decisions. Proficiency with git or other version control software. Building and testing of APIs. Integrating front end UI with constructed API Solid working knowledge of REST services. Experience or exposure to Material design. Preferred candidate profile Bachelor's degree in Computer Science, Information Technology with 8+ years of equivalent experience Solid work experience in Node JS. Additional experience with JAVA or Python will be a bonus. Solid experience in Front end technologies like Java script, React JS, HTML and CSS Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL and NoSQL databases such as but not limited to Hibernate Mongodb, PostgresQL, Oracle,Sybase. Experience working with Restful web service APIs and databases. A good understanding of testing and deployment strategies. Experience in leading teams of 5 or more people. Experience with development methodologies such as Agile or SCRUM

Requesting only candidates with relevant experience to apply for the position. We are looking for candidates who can join us immediately or 30 days of official Notice Period Role & responsibilities: You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. Follow/maintain an agile methodology for delivering on project milestones. Preferred candidate profile Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 5 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++

Role & responsibilities Be an expert in Python, with solid working knowledge of Python web frameworks such as Django, Flask, Pandas, NumPY, etc... Good familiarity with ORM (Object Relational Mapper) libraries. Ability to integrate multiple data sources and databases into one system. Understanding of the threading limitations of Python, and multi-process architecture. Good understanding of server-side templating languages such as Jinja 2, Mako, etc... Good knowledge of user authentication and authorization between multiple systems, servers, and environments. Understanding of fundamental design principles behind a scalable application. Familiarity with event-driven programming in Python. Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform. Able to create database schemas that represent and support business processes. Strong unit test and debugging skills. Proficient understanding of code versioning tools such as Git, Mercurial or SVN. Should follow good code quality standards. Preferred candidate profile Degree in Computer Science, Engineering or a related field. Hands-on work experience with: Python, Django/Flask, AWS, Azure, Docker, Microservices. Good knowledge of caching technologies like Redis and queues like Kafka, SQS, MQ etc. Knowledge of Big Data, Hadoop would be a plus.

Role & responsibilities Be an expert in Python, with solid working knowledge of Python web frameworks such as Django, Flask, Pandas, NumPY, etc... Good familiarity with ORM (Object Relational Mapper) libraries. Ability to integrate multiple data sources and databases into one system. Understanding of the threading limitations of Python, and multi-process architecture. Good understanding of server-side templating languages such as Jinja 2, Mako, etc... Good knowledge of user authentication and authorization between multiple systems, servers, and environments. Understanding of fundamental design principles behind a scalable application. Familiarity with event-driven programming in Python. Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform. Able to create database schemas that represent and support business processes. Strong unit test and debugging skills. Proficient understanding of code versioning tools such as Git, Mercurial or SVN. Should follow good code quality standards. Preferred candidate profile Degree in Computer Science, Engineering or a related field. Hands-on work experience with: Python, Django/Flask, AWS, Azure, Docker, Microservices. Good knowledge of caching technologies like Redis and queues like Kafka, SQS, MQ etc. Knowledge of Big Data, Hadoop would be a plus.

Role & responsibilities Be an expert in Python, with solid working knowledge of Python web frameworks such as Django, Flask, Pandas, NumPY, etc... Good familiarity with ORM (Object Relational Mapper) libraries. Ability to integrate multiple data sources and databases into one system. Understanding of the threading limitations of Python, and multi-process architecture. Good understanding of server-side templating languages such as Jinja 2, Mako, etc... Good knowledge of user authentication and authorization between multiple systems, servers, and environments. Understanding of fundamental design principles behind a scalable application. Familiarity with event-driven programming in Python. Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform. Able to create database schemas that represent and support business processes. Strong unit test and debugging skills. Proficient understanding of code versioning tools such as Git, Mercurial or SVN. Should follow good code quality standards. Preferred candidate profile Degree in Computer Science, Engineering or a related field. Hands-on work experience with: Python, Django/Flask, AWS, Azure, Docker, Microservices. Good knowledge of caching technologies like Redis and queues like Kafka, SQS, MQ etc. Knowledge of Big Data, Hadoop would be a plus.

Role & responsibilities Be an expert in Python, with solid working knowledge of Python web frameworks such as Django, Flask, Pandas, NumPY, etc... Good familiarity with ORM (Object Relational Mapper) libraries. Ability to integrate multiple data sources and databases into one system. Understanding of the threading limitations of Python, and multi-process architecture. Good understanding of server-side templating languages such as Jinja 2, Mako, etc... Good knowledge of user authentication and authorization between multiple systems, servers, and environments. Understanding of fundamental design principles behind a scalable application. Familiarity with event-driven programming in Python. Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform. Able to create database schemas that represent and support business processes. Strong unit test and debugging skills. Proficient understanding of code versioning tools such as Git, Mercurial or SVN. Should follow good code quality standards. Preferred candidate profile Degree in Computer Science, Engineering or a related field. Hands-on work experience with: Python, Django/Flask, AWS, Azure, Docker, Microservices. Good knowledge of caching technologies like Redis and queues like Kafka, SQS, MQ etc. Knowledge of Big Data, Hadoop would be a plus.

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

Experience developing web and mobile applications. Building applications using Angular. Must have detailed experience in at least one backend technology as well as database design and development. Follow/maintain agile methodology. Proficiency with git or other version control software. Building and testing of APIs. Integrating front end UI with constructed APIs. Working knowledge of REST services. A strong sense of ownership. Excellent troubleshooting and reverse engineering skills. Assist the Full Stack lead with analysis of business and technical requirements Create project-related documentation of all coding decisions and maintain documentation of the code itself. Should possess strong analytical and problem-solving skills. Capabilities to write and execute unit test cases. Ability to work and research independently, setting goals and achieving milestones. Ability to understand and communicate data, infrastructure, workflow, and solution context technical specifications.

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continuously improve model performance and scalability using experimentation and model evaluation techniques. Stay updated with the latest trends and breakthroughs in AI/ML (e.g., LLMs, transformers, generative AI). Required Qualifications Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong coding skills in Python (must), with knowledge of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, OpenCV , etc. Experience building and tuning ML models from scratch. Solid understanding of ML lifecycle, from data preprocessing to model deployment. Hands-on with SQL , data manipulation tools ( Pandas , NumPy ), and visualization tools ( Matplotlib , Seaborn , Plotly ). Experience with cloud platforms (AWS/GCP/Azure) and tools like Docker, Kubernetes, MLflow is a plus. Preferred Skills Exposure to NLP , LLMs , chatbots , speech processing , or computer vision applications. Experience with GenAI models like GPT, DALL•E, or stable diffusion. Knowledge of prompt engineering, vector databases (like FAISS, Pinecone ), or LangChain is a bonus. Publications or participation in AI/ML competitions (e.g., Kaggle, NeurIPS, CVPR) is a strong plus.

Requesting only candidates with relevant experience to apply for the position. We are looking for candidates who can join us immediately or 30 days of official Notice Period Role & responsibilities: You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. Follow/maintain an agile methodology for delivering on project milestones. Preferred candidate profile Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 5 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Software Engineers with minimum 3 years exp in Fullstack (Java + Angular), Python, Data Science, Data Engineer etc Fullstack Developers Mini 5 Years Exp Angular, Spring Bot Javascript, NodeJS, React, Rest API Python Developers Mini 3 Years Exp - Python, Web Scraping, OOPS, Shell Scripting, Web Application Data Science Mini 3 Years Exp -AI ML, Predictive Analytics, CV, NLP Data Engineer Mini 3 Exp in Python, Spark , PySpark, Hadoop, MySQL Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* Please send us your resume to chennai.walkin@blackstraw.ai Preference will be given for Immediate Joiners or who can join within 10-15 days.

Data Engineering Lead Company Name: Blackstraw.ai Oce Location: Chennai (Work from Office) Job Type: Full-time Experience: 10 - 15 Years Candidates who can join immediately will be preferred. Job Description: As a lead data engineer you will oversee data architecture, ETL processes, and analytics pipelines, ensuring efficiency, scalability, and quality. Key Responsibilities: Working with clients to understand their data. Based on the understanding you will be building the data structures and pipelines. You will be working on the application from end to end collaborating with UI and other development teams. You will be working with various cloud providers such as Azure & AWS. You will be engineering data using the Hadoop/Spark ecosystem. You will be responsible for designing, building, optimizing and supporting new and existing data pipelines. Orchestrating jobs using various tools such Oozie, Airflow, etc. Developing programs for cleaning and processing data. You will be responsible for building the data pipelines to migrate and load the data into the HDFS either on-prem or in the cloud. Developing Data ingestion/process/integration pipelines effectively. Creating Hive data structures,metadata and loading the data into data lakes / BigData warehouse environments. Optimized (Performance tuning) many data pipelines effectively to minimize cost. Code versioning control and git repository is up to date. You should be able to explain the data pipeline to internal and external stakeholders. You will be responsible for building and maintaining CI/CD of the data pipelines. You will be managing the unit testing of all data pipelines. Tech Stack: Minimum of 5+ years working experience with Spark, Hadoop eco systems. Minimum of 4+ years working experience on designing data streaming pipelines. Should be an expert in either Python/Scala/Java. Should have experience in Data Ingestion and Integration into data lake using hadoop ecosystem tools such as Sqoop, Spark, SQL, Hive, Airflow, etc.. Should have experience optimizing (Performance tuning) data pipelines. Should have minimum experience of 3+ years on NoSQL and Spark Streaming. Knowledge of Kubernetes and Docker is a plus. Should have experience with Cloud services either Azure/AWS. Should have experience with on-prem distribution such as Cloudera/HortonWorks/MapR. Basic understanding of CI/CD pipelines. Basic knowledge of Linux environment and commands. Preferred Qualifications: Bachelors degree in computer science or related field. Proven experience with big data ecosystem tools such as Sqoop, Spark, SQL, API, Hive, Oozie, Airflow, etc.. Solid experience in all phases of SDLC with 10+ years of experience (plan, design, develop, test, release, maintain and support) Hands-on experience using Azures data engineering stack. Should have implemented projects using programming languages such as Scala or Python. Working experience on SQL complex data merging techniques such as windowing functions etc.. Hands-on experience with on-prem distribution tools such as Cloudera/HortonWorks/MapR. Should have excellent communication, presentation and problem solving skills. Key Traits: Should have excellent communication skills. Should be self motivated and willing to work as part of a team. Should be able to collaborate and coordinate with on shore and offshore teams. Be a problem solver and be proactive to solve the challenges that come his way.