Data Engineer : 8+year experience in design and development of streaming data pipelines. Experience to deal with large stream volumes. Implementation experience ( atleast couple of projects ) in MSK/Flink/Spark/Scala. Very good knowledge on atleast 3 out of the 4 technologies Desirable experience in Databricks, Snowflake or any data warehouse technologies. Experience using AWS native services. Recent project worked on that involved real-time data required Knowledge about data quality and integrity in real-time data processing Knowledge of how to handle duplicate data in a database Knowledge about stream processing frameworks like Apache Kafka and Apache Flink Managing handle schema evolution in a data pipeline Handling missing data during transformation
Responsibilities: Design, develop, and deploy Gen AI-based applications using Python and related technologies Work with large datasets and perform data preprocessing, feature engineering, and model evaluation Collaborate with the team to develop and fine-tune AI models using agents and other Gen AI techniques Lead code reviews and contribute to the improvement of the codebase Stay up-to-date with industry trends and emerging technologies in Gen AI Requirements: 3+ years of experience in Python development and AI/ML Strong expertise in Gen AI, specifically with exposure to agents, model fine-tuning, and related technologies Proficiency in Python programming and popular AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with Flask and other related technologies (e.g., Django, Pyramid) Strong understanding of software development principles and best practices Excellent communication and leadership skills Nice to Have: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes) Familiarity with popular Gen AI frameworks (e.g., Hugging Face Transformers, Generative Adversarial Networks)
AI Architect A Key Responsibilities: 1. Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals. 2. Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities. 3. Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models. 4. Model Training and Evaluation: Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics. 5. Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems. 6. Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions. 7. Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration. 8. Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions. 9. Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows. 10. Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues. 11. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments. Qualifications and Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus. Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.
We are looking for fuor Sr IT Recruiter for our Bangalore location. Please find few key skills required for this requirement. - Candidate should have END TO END IT RECRUITMENT experience. - He/she should have minimum 6 years of experience in recruitment industry. - He/she should have excellent communication skills. - He/she should have exprience working with any ATS tools for minimum 2 years. V2Soft ( www.v2soft.com ) is a global company, headquartered out of Bloomfield Hills, Michigan, with locations in Mexico, Italy, India, China and Germany. At V2Soft, our mission is to provide high performance technology solutions to solve real business problems. We become our customer's true partner, enabling both parties to enjoy success. We are committed to promoting diversity in the workplace, and believe it has a positive effect on our company and the customers we serve.
Talent Acquisition management a. Manage the entire recruitment team assigned to perform end to end recruiting tasks from assigning job orders, submissions, interviews, onboarding, followup and placement. b. Train and counsel recruiters on sourcing techniques, recruitment strategy, process administration. c. Making sure the target assigned on staffing and hiring is met d. Customer interaction in submitting resumes, coordinating interview and closing hires. e. Handling MSP accounts and other house accounts assigned to perform account support and management activities. f. Working to ramp up and down the team depending the staffing needs. g. Making sure the recruiters meet the target assigned to them and utilizing the recruiters effectively to get 100% output. h. Making sure V2Soft process on recruiting is followed and recruiting checklist is strictly adhered to by recruiters. i. Working with subvendors and contractors and handling the vendor management program. j. Working with the proposal team in providing rate card, resumes and other recruiting information for the proposal submission. k. Making sure all the referral candidates, candidates coming out of projects, hot candidates are managed and used by the team efficiently. Targets and Reports a. Responsible to achieve the targets given for sales and talent acquisition team b. Responsible to make sure periodic updates are provided to CEO.