15 Hadoop Administrator Jobs in Mumbai

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

Job Description  We are seeking a seasoned GCP Data Analytics professional with extensive experience in Big Data technologies and Google Cloud Platform services to design and implement scalable data solutionsDesign develop and optimize data pipelines using GCP BigQuery Dataflow and Apache Airflow to support largescale data analytics Utilize the Big Data Hadoop ecosystem to manage and process vast datasets efficiently Collaborate with crossfunctional teams to gather requirements and deliver reliable data solutions Ensure data quality consistency and integrity across multiple data sources Monitor and troubleshoot data workflows to maintain high system availability and performance Stay updated with emerging trends and best practices in GCP data analytics and big data technologiesRoles and Responsibilities  Implement and manage ETL processes leveraging GCP services such as BigQuery Dataflow and Airflow Develop.  Scalable maintainable and reusable data pipelines to support business intelligence and analytics needs.  Optimize SQL queries and data models for performance and cost efficiency in BigQuery.  Integrate Hadoop ecosystem components with GCP services to enhance data processing capabilities  Automate workflow orchestration using Apache Airflow for seamless data operations  Collaborate with data engineers analysts and stakeholders to ensure alignment of data solutions with organizational goals  Participate in code reviews testing and deployment activities adhering to best practices   Mentor junior team members and contribute to continuous improvement initiatives within the data engineering team Mandatory Skills :    GCP Storage,GCP BigQuery,GCP DataProc,GCP Cloud Composer,GCP DMS,Apache airflow,Java,Python,Scala,GCP Datastream,Google Analytics Hub,GCP Workflows,GCP Dataform,GCP Datafusion,GCP Pub/Sub,ANSI-SQL,GCP Dataflow,GCP Data Flow,GCP Cloud Pub/Sub,Big Data Hadoop Ecosystem

As a dynamic and organized self-starter interested in joining Sciative's Tech Team, you will have the opportunity to collaborate with data scientists, software engineers, and business stakeholders. Your primary responsibilities will include: - Collaborating with team members to understand data requirements and design efficient data models. - Developing, implementing, and maintaining robust and scalable data pipelines, ETL processes, and data integration solutions. - Optimizing data processing and storage systems to handle large volumes of structured and unstructured data efficiently. - Performing data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modeling. - Monitoring data flows and processes to identify and resolve data-related issues and bottlenecks. - Contributing to the continuous improvement of data engineering practices and standards within the organization. - Staying up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricing. To be successful in this role, you should possess the following qualifications: - Strong passion for data engineering, artificial intelligence, and problem-solving. - Solid understanding of data engineering concepts, data modeling, and data integration techniques. - Proficiency in programming languages such as Python, SQL, and Web Scraping. - Understanding of databases like NoSQL, relational database, In-Memory database, and technologies like MongoDB, Redis, Apache Spark would be an add-on. - Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus. - Excellent analytical and problem-solving skills, with a keen eye for detail. - Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. - Self-motivated, quick learner, and adaptable to changing priorities and technologies.,

Role Overview: You will collaborate with cross-functional teams to design, develop, and implement innovative solutions using Large Language Models (LLMs) and the latest data science technologies. Your role will involve understanding business problems and implementing machine learning models to solve complex business problems. Additionally, you will assist in the analysis and interpretation of complex datasets to extract valuable insights and drive data-driven decision-making. Supporting the development and deployment of machine learning models and algorithms to enhance various aspects of insurance operations will be a key responsibility. You will also contribute to the creation of data pipelines and ETL processes to ensure efficient data collection, processing, and storage. Furthermore, your involvement in the research and evaluation of emerging technologies and tools will continuously improve solutions and keep abreast of industry trends. Leading and mentoring team members, effective communication with stakeholders, and delivering high-quality results on time and within budget are essential aspects of this role. Key Responsibilities: - Collaborate with cross-functional teams to design, develop, and implement innovative solutions using LLMs and the latest data science technologies. - Understand business problems and implement machine learning models to solve complex business problems. - Assist in the analysis and interpretation of complex datasets to extract valuable insights and drive data-driven decision-making. - Support the development and deployment of machine learning models and algorithms to enhance various aspects of insurance operations. - Contribute to the creation of data pipelines and ETL processes to ensure efficient data collection, processing, and storage. - Participate in the research and evaluation of emerging technologies and tools to continuously improve solutions and stay ahead of industry trends. - Lead and mentor team members, communicate effectively with stakeholders, and deliver high-quality results on time and within budget. Qualification Required: - Ph.D. in data Science or MSc (Maths/Statistics) with 3+ years of experience. - Formal training & certification in data science/AI/ML is required. - Strong enthusiasm and passion for new technologies, especially Large Language Models (LLMs) and their applications. - Good understanding of data science concepts, including statistical analysis, machine learning, and predictive modeling. - Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks. - Proficiency in programming languages such as Python, R, or Java. - Knowledge of SQL and experience with databases.,

Role Overview: As a Data Engineer, you will be responsible for handling the flow and storage of data efficiently, ensuring the model has access to the right datasets. Key Responsibilities: - Designing efficient database systems to store large volumes of transactional or behavioral data using SQL, NoSQL, Hadoop, and Spark. - Building ETL pipelines to collect, transform, and load data from various sources into a usable format for analysis. - Integrating different data sources, including transactional data, customer behavior, and external data sources. Qualifications Required: - Experience in database design and management. - Proficiency in ETL pipeline development. - Knowledge of data integration techniques. - Familiarity with tools and technologies such as Apache Spark, Kafka, SQL, NoSQL databases (e.g., MongoDB), and cloud data services (AWS, Azure). - Knowledge of UX/UI tools like Sketch, Adobe XD, Tableau, Power BI would be beneficial for building interfaces to visualize fraud prediction and alerts, as well as user-friendly dashboards.,

Key Responsibilities Design, develop, and maintain robust applications and APIs using Python. Work with cross-functional teams (Data Science, Analytics, DevOps) to implement AI/ML models into production. Build data pipelines and perform data wrangling, transformation, and analysis. Contribute to analytics dashboards and reporting systems for business insights. Optimize code for performance, scalability, and reliability. Ensure best practices in version control, testing, CI/CD, and documentation. Stay updated with emerging technologies (AI, ML, analytics, DevOps). Must-Have Skills Strong programming skills in Python (mandatory). Hands-on experience with Python libraries/frameworks such as Pandas, NumPy, Flask/Django, FastAPI. Proficiency in data manipulation, scripting, and automation. Strong understanding of OOP, design patterns, and software engineering principles. Familiarity with databases (SQL/NoSQL) Good-to-Have Skills Knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Experience in data visualization and analytics tools (Matplotlib, Seaborn, Power BI, Tableau). Exposure to cloud platforms and services Understanding of containerization & orchestration (Docker, Kubernetes). Knowledge of big data tools (Spark, Hadoop) and streaming platforms (Kafka). Experience integrating ML/AI models into production systems.

Role Overview: As a Software Developer, your primary responsibility will be to engage in various software/web application development tasks to support both internal and external projects. Your role will involve ensuring solution efficiencies, scalability, and technology stack leadership. You will be required to maintain robust applications through unit tests and other quality control measures. Following an agile development process, you will contribute towards providing rapid solutions to business challenges. Gathering inputs from both internal and external clients, you will continuously strive to enhance solutions. It will be essential for you to adhere to software design, development, testing, and documentation best practices. Key Responsibilities: - Facilitate solution efficiencies, scalability, and technology stack leadership. - Ensure foolproof and robust applications through unit tests and quality control measures. - Follow an agile development process to provide rapid solutions to business challenges. - Gather inputs from internal and external clients to improve solutions continuously. - Adhere to software design, development, testing, and documentation best practices. - Engage in data engineering tasks such as extracting and parsing data from online and local sources, data cleanup, and auditing for accuracy and completeness. - Utilize tools like Excel, SQL, Python, SAS, R, MATLAB, etc. to extract valuable insights. - Summarize insights through powerful charts, reports, and slides for data processing and visualization. - Manage data storage using MySQL (AWS RDS) and MongoDB. - Work with application frameworks such as React, React Native, and Django. - Utilize data integration technologies like RESTful APIs, AWS S3, and UI data uploads. - Utilize proprietary tools for performing data engineering, analytics, and visualization activities for internal and external client projects. - Take ownership of project deliveries, escalation, continuous improvement, and ensuring customer success. - Modify software to fix errors, adapt to new hardware, enhance performance, or upgrade interfaces. - Follow system testing and validation procedures. Qualifications Required: - Strong knowledge of MVC frameworks, SQL coding, and proficiency in at least one of AngularJS, Django, Flask, Ruby on Rails, or NodeJS. - Proficiency in software development, algorithm design, database programming (RDBMS), and text analytics. - Knowledge of NoSQL and Big Data technologies like MongoDB, Apache Spark, Hadoop stack, and Python data science stack is a plus. - Strong problem-solving skills with the ability to break down problems into incremental milestones, prioritize high-impact deliverables, identify bottlenecks, and find solutions. - Self-learner with a high level of curiosity, self-starting capabilities, and the ability to work with minimal supervision. - Entrepreneurial mindset with a positive attitude, along with a track record of excellence in academics or non-academic areas. - Excellent written and oral communication skills, interpersonal skills, and comfort working in teams to drive team success.,

As a Technical Support Engineer with 3-5 years of experience in Kafka implementation, your responsibilities will include: - Designing, implementing, and maintaining enterprise RedHat Kafka or other editions - Creating and managing Kafka Clusters on cloud environments and Containers - Integrating applications with Kafka - Proficiency in scripting languages like Python and Spark - Strong understanding of message queuing and stream processing architecture - Contributing to team design discussions with detailed technical information - Developing high-quality, scalable, and extensible code - Providing work breakdown and estimates for complex software development tasks - Identifying strategic/tactical solutions, conducting risk assessments, and making recommendations - Expertise in Linux and cloud-based operating systems - Collaborating with multiple teams to optimize Kafka usage and ensure data safety in event streaming Qualifications required for this role: - Hands-on experience in the end-to-end implementation of Kafka - Proficiency in Python, Spark, and Hadoop - Familiarity with ELK and Kibana - Experience in Docker and container-oriented infrastructure - Ability to multitask and prioritize in a fast-paced, team-oriented environment - Bachelor's degree in computer science or equivalent work experience In addition to the technical responsibilities, you are ideally expected to have 3+ years of experience and a proven track record of building enterprise-level Kafka solutions.,

As a Data Engineering Senior Software Engineer / Tech Lead / Senior Tech Lead at a leading digital health platform in Navi Mumbai, Ghansoli, you will play a crucial role in designing, building, and optimizing ETL/ELT pipelines using tools like Pentaho, Talend, or similar. Your responsibilities will include working on traditional databases such as PostgreSQL, MSSQL, Oracle, as well as MPP/modern systems like Vertica, Redshift, BigQuery, and MongoDB. You will collaborate cross-functionally with BI, Finance, Sales, and Marketing teams to define data needs and participate in data modeling, data quality checks, and data integration. Additionally, you will be implementing solutions involving messaging systems like Kafka, REST APIs, and scheduler tools such as Airflow, Autosys, or Control-M while ensuring code versioning and documentation standards are followed using Git or Bitbucket. Key Responsibilities: - Design, build, and optimize ETL/ELT pipelines using tools like Pentaho, Talend, or similar - Work on traditional databases (PostgreSQL, MSSQL, Oracle) and MPP/modern systems (Vertica, Redshift, BigQuery, MongoDB) - Collaborate cross-functionally with BI, Finance, Sales, and Marketing teams to define data needs - Participate in data modeling (ER/DW/Star schema), data quality checks, and data integration - Implement solutions involving messaging systems (Kafka), REST APIs, and scheduler tools (Airflow, Autosys, Control-M) - Ensure code versioning and documentation standards are followed (Git/Bitbucket) Qualifications Required: - ETL Tools: Pentaho / Talend / SSIS / Informatica - Databases: PostgreSQL, Oracle, MSSQL, Vertica / Redshift / BigQuery - Orchestration: Airflow / Autosys / Control-M / JAMS - Modeling: Dimensional Modeling, ER Diagrams - Scripting: Python or Perl (Preferred) - Agile Environment, Git-based Version Control - Strong Communication and Documentation In this role, you will have the opportunity to work on hands-on development of ETL pipelines, data models, and data inventory as a Senior Software Engineer. As a Tech Lead, you will lead mid-sized data projects and small teams, deciding on ETL strategy and performance tuning. As a Senior Tech Lead, you will drive data architecture decisions, oversee large-scale data ingestion, and mentor junior leads while owning stakeholder delivery end-to-end. Experience with AdTech/Marketing data and the Hadoop ecosystem would be advantageous for the Senior Tech Lead role. Join this dynamic team if you are looking to contribute to a digital health platform and make a difference in the healthcare industry.,

As part of this role, you will be responsible for the digitization and improvement of plant operations and efficiencies utilizing advanced automation and data analytics to merge Information Technology (IT) with operational Technology (OT). This is a unique opportunity to be part of a new team working on high-impact projects that involve big data analytics and machine learning to enhance manufacturing operations. Your key responsibilities will include: - Conducting in-house conceptual studies to develop advanced control system architecture - Designing advanced analytic solutions, testing them, and deploying them in plants - Leading data acquisition and extraction, data management, and applying quantitative and qualitative analytical techniques - Coordinating with the Procurement and Logistics team to ensure on-time delivery of project materials - Collaborating with Engineering Consultants and Vendors to finalize engineering deliverables - Coordinating with key stakeholders at sites for the implementation of new technology solutions and collaborating with partners/vendors for project execution - Addressing and resolving application-related issues faced by internal customers and translating usability and field implementation findings into design improvements - Communicating with internal teams and external clients to deliver functional requirements like GUI, screen, and interface designs - Reviewing process automation documents and planning and scheduling end-user trainings - Assisting Project Managers in defining project objectives, scope, and ensuring the delivery and implementation of solutions In terms of qualifications, the role requires: - Minimum Bachelor's Degree in Engineering - 5 to 9 years of experience, preferably in Plant operation or CES - Experience in administering data historian (IP-21) - Exposure to Big data analytics, MATLAB would be an added advantage - Ability to learn new technologies - Knowledge of Hadoop, HANA, Big Data, SAS, Python, R-programming will be an added advantage Additionally, the desired skills and competencies for this role include: - Good Communication Skills - Sufficient Knowledge of statistical modeling, machine learning, OPC, APC - Hands-on experience in the design of Supervisory Data Acquisition System (SCADA), DCS, PLCs - Familiarization with various measurement systems, advanced automation technologies, process data historian, and Manufacturing Execution System,

**Job Description:** As an AI and Predictive Analytics Specialist, you will play a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. Your responsibilities will include collaborating with cross-functional teams to understand data analytics needs, designing and implementing predictive models, analyzing large datasets, creating data visualizations, evaluating model performance, refining algorithms, and validating results using statistical methods. Additionally, you will assist in the development and maintenance of analytics tools, prepare detailed reports, stay updated with the latest advancements in AI and analytics technologies, train team members on best practices, facilitate workshops, manage multiple projects, ensure data integrity and security, identify trends in complex data sets, and support strategic initiatives through data-driven recommendations. **Key Responsibilities:** - Collaborate with cross-functional teams to understand data analytics needs - Design and implement predictive models to drive business solutions - Analyze large datasets to discover patterns and trends - Create data visualizations to communicate findings effectively to stakeholders - Evaluate model performance and refine algorithms to enhance accuracy - Utilize statistical methods to validate results and assumptions - Assist in the development and maintenance of analytics tools and frameworks - Prepare detailed reports and documentation of analyses performed - Stay updated with the latest advancements in AI and analytics technologies - Train team members on data analytics best practices and tools - Facilitate workshops to promote data-driven decision-making - Manage multiple projects simultaneously while meeting deadlines - Work closely with IT teams to ensure data integrity and security - Identify, analyze, and interpret trends in complex data sets - Support strategic initiatives through data-driven recommendations **Qualifications Required:** - Masters degree in Data Science, Computer Science, Statistics, or related field - Proven experience in predictive analytics and machine learning - Strong proficiency in programming languages such as Python or R - Experience with data visualization tools like Tableau or Power BI - Solid understanding of statistical analysis and methodologies - Hands-on experience with SQL and database management - Excellent problem-solving and critical-thinking skills - Strong project management abilities with attention to detail - Ability to work collaboratively in a team environment - Effective communication skills for presenting technical concepts - Experience with big data technologies (Hadoop, Spark) is a plus - Demonstrated ability to adapt to changing priorities and manage multiple projects - Familiarity with data cleaning and preprocessing techniques - Understanding of business processes for contextual application of analytics - Previous experience in a similar role preferred - Professional certifications in data analytics or related fields are a plus In this role, you will have the opportunity to contribute significantly to the organization's overall data-driven strategy and foster a culture of continuous improvement through data insights.,

As a Data Scientist at RBHU ETG Pvt. Ltd., you will play a crucial role in solving complex business problems through advanced analytics and machine learning techniques. Your responsibilities will include: - Analyzing large and diverse datasets to derive actionable insights for strategic decision-making. - Developing and implementing machine learning models such as classification, regression, and clustering with a focus on scalability and performance. - Conducting feature engineering, data cleaning, preprocessing, and exploratory data analysis. - Collaborating with cross-functional teams to understand business requirements and translate them into analytical and machine learning solutions. - Building and maintaining data pipelines, ensuring data quality and consistency across different sources. - Monitoring model performance, conducting retraining as necessary, performing A/B testing, and managing model versioning. - Communicating findings effectively through dashboards, visualizations, and reports for both technical and non-technical stakeholders. - Mentoring and guiding junior data scientists/analysts, reviewing code, and advocating for best practices. - Keeping abreast of the latest trends, tools, and research in AI/ML to evaluate their relevance in our environment. Qualifications we are looking for in a candidate include: - 4-6 years of experience in roles such as Data Scientist, Machine Learning Engineer, or similar. - Proficiency in Python (preferred) and/or R, along with experience in SQL. - Hands-on expertise in ML frameworks like scikit-learn, TensorFlow, PyTorch, XGBoost, etc. - Strong knowledge of statistics, probability, hypothesis testing, and experimental design. - Skills in data engineering including ETL pipelines, data wrangling, and handling large-scale datasets. - Familiarity with cloud platforms and services such as AWS, GCP, Azure, Sagemaker, BigQuery, Databricks, etc. - Experience in deploying and maintaining models in production following MLOps practices. - Strong analytical, problem-solving, and communication skills, along with familiarity with visualization tools like Tableau, Power BI, Plotly, etc. - Ability to thrive in a fast-paced, agile environment, being self-motivated and detail-oriented. Additionally, the following qualifications are considered nice to have: - Experience in natural language processing, computer vision, or deep learning. - Knowledge of time series forecasting, anomaly detection, and big data technologies like Spark, Hadoop, Kafka, etc. - Sector-specific analytics experience in fintech, e-commerce, healthcare, or other industries. - Previous mentorship or small-team leadership experience. At RBHU ETG Pvt. Ltd., you can expect: - A collaborative and learning-oriented work environment where your ideas are valued. - Exposure to challenging and high-impact projects in Mumbai and beyond. - Opportunities to work across the full stack of data science and deployment. - Professional growth and mentorship opportunities. - Competitive salary and benefits. (Note: Additional details about the company were not provided in the job description),

As a Software Developer at our company, your primary role will involve carrying out various software/web application development activities to support internal and external projects. Your responsibilities will include: - Facilitating solution efficiencies, scalability, and technology stack leadership. - Ensuring foolproof and robust applications through unit tests and other quality control measures. - Following an agile development process and enabling rapid solutions to business challenges. - Taking inputs from internal and external clients and constantly striving to improve solutions. - Following software design, development, testing, and documentation best practices. - Data engineering tasks such as extracting and parsing data from online and local sources, cleaning up data, auditing data for accuracy, consistency, and completeness. - Utilizing tools like Excel, SQL, Python, SAS, R, MATLAB, etc., to extract valuable and actionable insights. - Summarizing insights through data processing and visualization in charts, reports, slides, etc. - Managing data storage using MySQL (AWS RDS) and MongoDB. - Working with application frameworks such as React, React Native, and Django. - Utilizing data integration technologies like RESTful APIs, AWS S3, and UI data uploads. - Performing project operations using proprietary tools for data engineering, analytics, and visualization activities. - Taking responsibility for project deliveries, escalation, continuous improvement, and customer success. - Modifying software to fix errors, adapt it to new hardware, improve performance, or upgrade interfaces. - Following system testing and validation procedures. Qualifications required for this role include: - Strong knowledge of MVC frameworks, SQL coding, and expertise in at least one of the following: AngularJS, Django, Flask, Ruby on Rails, or NodeJS. - Proficiency in software development. - Strong skills in algorithm design, database programming (RDBMS), and text analytics. - Knowledge of NoSQL and Big Data technologies like MongoDB, Apache Spark, Hadoop stack, and Python data science stack is a plus. - High problem-solving skills, with the ability to logically break down problems, prioritize deliverables, identify bottlenecks, and find solutions. - Self-learner with a curious and self-starting attitude, capable of working with minimal supervision. - Entrepreneurial mindset with a positive attitude. - Track record of excellence in academics or non-academic areas, with significant accomplishments. - Excellent written and oral communication skills, interpersonal skills, and comfort working in teams. Please note that this job description is for a Software Developer position at our company.,

As an IoT Developer at our company in Navi Mumbai, India, you will play a crucial role in building prototypes, products, and systems for testing. Your responsibilities will include developing and maintaining high-quality software, staying updated on the latest IoT technologies, sharing your expertise within the organization, and potentially providing user training. You will also evaluate engineering approaches, manage risks, and contribute to the creation of development plans aimed at delivering top-notch, cost-effective products and systems. Additionally, you may be involved in authoring technical reports, papers, articles, patents, and presentations. Your qualifications should include good programming skills, with a minimum of 3 years of experience. While experience with Python, Ruby, and Node.js is preferred, we welcome code-agnostic programmers who excel in problem-solving using any language or framework. A solid understanding of embedded systems and networking is essential, along with experience in architecting infrastructure solutions using Linux/Unix and Windows. You should be adept at designing systems to interact with remote data via third-party APIs and JSON, reading hardware schematics, optimizing code for low power consumption, and debugging hardware issues. Moreover, you should possess the ability to lead a team of junior developers, along with knowledge of big data analytics frameworks like Hadoop or SPARK for developing business intelligence applications. It is important to note that you will be required to appear for a personal interview at our office in Navi Mumbai. Please refrain from applying if you are unable to attend the interview in person, as there will be no telephone rounds conducted during the selection process.,

As an AI Developer at our company, you will play a crucial role in designing, developing, and implementing AI solutions to meet the needs of our clients. You will work closely with cross-functional teams to integrate cutting-edge AI models into our products and services, fostering innovation and achieving impactful results. **Key Responsibilities:** - Design and develop AI models and algorithms to address business challenges. - Implement machine learning and deep learning algorithms for various applications. - Collaborate with data scientists and engineers to preprocess data and construct datasets for model training. - Integrate AI models into software applications and platforms. - Optimize AI models for enhanced performance, scalability, and efficiency. - Conduct research to keep abreast of the latest advancements in AI and machine learning technologies. - Test and validate AI models to ensure accuracy and reliability. - Deploy AI models in production environments and monitor their performance. - Collaborate with product managers and stakeholders to comprehend project requirements and propose AI solutions. **Qualifications Required:** - Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD is preferred. - Proficiency in programming languages like Python, Java, or C++. - Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. - Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, reinforcement learning). - Experience in data preprocessing, feature engineering, and model evaluation. - Knowledge of cloud platforms like AWS, Azure, GCP, and familiarity with deploying AI models in cloud environments. - Excellent problem-solving skills with the ability to work independently and collaboratively. - Strong communication skills to effectively work with cross-functional teams. In addition to the specified qualifications, the following preferred qualifications would be advantageous: - Experience with natural language processing (NLP) and computer vision applications. - Familiarity with big data technologies (e.g., Hadoop, Spark) for managing large-scale datasets. - Understanding of DevOps practices and experience with CI/CD pipelines. - Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects). This JD showcases an exciting opportunity for you to leverage your AI expertise and contribute to our team's success in delivering cutting-edge solutions to our clients.,