AI-ML Sr. Developer NO OF OPENINGS: 1 YEARS OF EXPERIENCE: 3+ years JOB DESCRIPTION: We are seeking a skilled Python AIML Developer with expertise in Django to join our team. The ideal candidate will have experience developing AI/ML models, integrating them with web applications, and deploying scalable solutions. You will work closely with cross-functional teams to design, develop, and implement AI-driven applications. ROLES & RESPONSIBILITIES: Develop, train, test, and optimize AI/ML models for real-world applications including classification, regression, and natural language processing (NLP). Integrate machine learning models into Django-based web applications. Work with TensorFlow, PyTorch, Scikit-learn, Hugging Face, ElasticSearch, Textract or similar libraries for AI/ML development. Design and implement APIs for model interaction using Django REST Framework (DRF). Optimize model performance and improve accuracy using feature engineering and hyperparameter tuning. Manage databases such as PostgreSQL, MySQL, or MongoDB to store AI-related data. Deploy machine learning models using Docker, Kubernetes, Azure, or cloud platforms (AWS, GCP, or Azure). Perform unit testing and debugging to ensure software reliability. Lead a team of engineers and provide technical leadership/mentorship. Collaborate with front-end developers, data engineers, and product managers to create seamless AI-driven applications. Stay updated with the latest AI/ML advancements and integrate them into projects. SKILLS SET & QUALIFICATION: Proficient in one or more of the following AI/ML development libraries: TensorFlow, Pytorch, Scikit-Learn, Hugging Face, or ElasticSearch, Textract, and similar libraries. Understanding of Natural Language Processing (NLP), Computer Vision, Deep Learning, and Predictive Analysis. Hands-on work experience with SQL and NoSQL databases. Knowledge about Docker, Kubernetes, CI/CD pipeline logic, Azure, and cloud services. A minimum of 3 years of experience required in AI technologies. Great communication skills.

Job Description We are seeking a skilled Data Scientist with a focus on Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision to join our team. You will be responsible for analyzing business problems and translating them into technical specifications for Data Science projects. With your strong problem-solving abilities, you will leverage cutting-edge technologies in AI, cloud platforms, and generative AI to create solutions that drive business value. This role will require hands-on expertise in Machine Learning model development, AI solution deployment, and the Data Science lifecycle. Key Responsibilities Design and Development of Machine Learning Pipelines: Build and implement end-to-end ML production pipelines including data exploration, sampling, feature engineering, model building, and performance evaluation. Experience in predictive analytics and statistical modeling. Development of AI Solutions: Lead the design and development of AI and Data Science projects, including Generative AI applications using open-source LLMs and cloud platforms. Implement and optimize AI models such as Logistic Regression, SVMs, Decision Trees, CNNs, and clustering algorithms. Integration and Deployment: Design and develop API-based applications for AI and Data Science projects. Ensure effective deployment and integration into DevOps pipelines. Collaboration and Cross-functional Coordination: Work closely with internal teams and stakeholders to understand business requirements and translate them into technical specifications for AI solutions. Collaborate with cross-functional teams to ensure successful project execution. Research & Continuous Improvement: Stay updated with the latest developments in Generative AI, LLMs, and emerging AI models. Continuously improve the performance of models and pipelines based on business feedback and performance metrics. Required Skills and Qualifications Education: B-Tech/BE in Computer Science, IT, MCA, or MSc in Computer Science with relevant certifications. Technical Expertise: Programming: Strong hands-on experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, and NLP frameworks. Machine Learning Models: Proven experience in designing and developing Machine Learning models for at least 3 AI/Data Science projects. Generative AI: Experience in the design and development of Generative AI applications, especially using open-source LLMs like OpenAI, Llama, and Mistral AI. Cloud Platforms: Hands-on experience with cloud platforms and deploying AI models in the cloud. Data Engineering: Strong understanding of data engineering lifecycle, including data pipelines, data lakes, and data warehouses. Desirable Skills: Familiarity with containerization and orchestration tools like Docker and Kubernetes. Experience with Databricks, Azure Data Platform, and configuration management tools is a plus. Understanding of DevOps pipelines for model deployment. Exposure to LLM integration and development. Experience 3+ years of experience in Machine Learning Model development within Data Science/AI Projects. Prior experience with Generative AI solutions and integration of LLMs for business/automation needs is highly desirable. Soft Skills & Competencies Research Orientation: Passion for exploring new technologies and methodologies. Clear Communication: Ability to explain complex technical concepts to non-technical stakeholders. Collaboration: Strong team player with an ability to work with cross-functional teams. Solution Orientation: Ability to devise actionable solutions to complex problems. Adaptability: Comfortable working in a fast-paced, evolving environment. Analytical Thinking: Strong problem-solving abilities and keen attention to detail. Customer-Centric Mindset: A focus on delivering value to clients and ensuring satisfaction. Why Join Us? Work on cutting-edge AI technologies, including Generative AI and LLMs. Collaborate with experts in Machine Learning, NLP, and Computer Vision. Opportunity to work on high-impact projects for global businesses. Focus on continuous learning and professional growth.

Job Summary The Lead Data Scientist will be responsible for driving data science initiatives and leading a team of data scientists to develop innovative solutions using Artificial Intelligence, Generative AI, and Machine Learning. This role requires a strong background in Python and Large Language Models (LLM) to enhance data-driven decision-making across the organization. Duties and Responsibilities Lead the design and implementation of data science projects from conception to deployment. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. Mentor and guide junior data scientists in best practices and methodologies. Develop and maintain machine learning models and algorithms to solve complex business problems. Stay updated with the latest advancements in AI and machine learning technologies. Communicate findings and insights to stakeholders through presentations and reports. Qualifications and Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 5-7 years of experience in data science or a related field. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn). Strong understanding of machine learning algorithms and techniques. Experience with Large Language Models (LLM) and Generative AI. Excellent problem-solving skills and ability to work in a fast-paced environment. Key Competencies Strong analytical and critical thinking skills. Effective communication and presentation skills. Ability to work collaboratively in a team-oriented environment. Adaptability and willingness to learn new technologies. Project management skills to oversee multiple projects simultaneously. Performance Expectations Deliver high-quality data science solutions within project timelines. Demonstrate leadership by fostering a collaborative team environment. Achieve measurable improvements in business outcomes through data-driven insights. Continuously enhance technical skills and knowledge in the field of data science. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.