397 Vice President AI Machine Learning Software Engineer jobs in Pune

We are seeking a skilled Artificial Intelligence and Machine Learning Specialist to join our team.

1. Design and Develop Enterprise-Grade Applications in Java: Focus on performance, scalability, and maintainability.
2. Build, Train, and Deploy AI/ML Models: NLP, predictive analytics, deep learning, using frameworks like TensorFlow, PyTorch, Scikit-learn.
3. Integrate Models with Java Services and APIs: Production-grade usage for AI-powered enterprise applications.
4. Provide Thought Leadership: AI adoption, frameworks, best practices, and innovation.
5. Cross-Functional Collaboration: Data science, product, platform teams to deliver end-to-end AI-driven solutions.

Qualifications and Skills:

• 3+ years of professional experience in Java engineering.
• Strong hands-on expertise in AI/ML frameworks.
• Experience deploying AI models into Java-based enterprise systems.
• Solid understanding of data structures, algorithms, and distributed systems.
• Strong communication, leadership, and mentoring skills.

Position Overview:

We are seeking an experienced Senior AI Developer to join our growing agentic AI team. This role will focus on developing production-grade agentic AI solutions including ReAct agents that drive business value across multiple business units. The successful candidate will architect and implement sophisticated AI agents, RAG systems, and automation workflows that integrate seamlessly into our enterprise technology stack.

Key Responsibilities:

• Design and develop enterprise-scale agentic AI solutions using LangGraph and related frameworks.
• Build and optimize RAG systems (chunking, retrieval strategies, evaluation) with an emphasis on accuracy, latency, and reliability.
• Architect multi-step reasoning workflows that integrate with existing enterprise systems and APIs.
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
• Ensure AI implementations meet enterprise security, compliance, and governance standards.
• Optimize system performance and cost efficiency across multiple LLM providers.
• Mentor junior developers and contribute to AI development best practices.
• Partner with DevOps teams to ensure reliable production deployments.

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, or related technical field

Job Title: AI Test Engineer

Duration: Fulltime

Location: Pune/ Kharadi

Job Summary:

We are looking for a detail-oriented and analytical AI Tester to ensure the quality and reliability of our AI models and systems. The ideal candidate will have experience in testing AI/ML applications, a strong understanding of machine learning concepts, and expertise in designing test cases for complex AI systems. You will play a critical role in identifying issues, ensuring compliance with ethical AI standards, and improving the overall performance of AI solutions.

Key Responsibilities:

1. Test Planning and Strategy:

• Develop comprehensive test plans and strategies for AI/ML models and systems.
• Define testing methodologies, including functional, performance, and stress testing for AI applications.

2. Test Case Design and Execution:

• Design and execute test cases to validate AI models, algorithms, and workflows.
• Test AI systems for accuracy, bias, fairness, and robustness.
• Simulate real-world scenarios to evaluate the performance of AI models.

3. Defect Identification and Reporting:

• Identify, document, and report issues, bugs, and inconsistencies in AI systems.
• Work closely with data scientists and engineers to resolve defects and improve model performance.

4. Performance Monitoring:

• Monitor the performance of AI models in production environments.
• Validate model outputs against expected results and business requirements.

5. Compliance and Ethical Testing:

• Ensure AI systems comply with ethical AI principles, data privacy regulations, and organizational standards.
• Test for unintended biases and ensure fairness in AI decision-making processes.

6. Automation and Tools:

• Develop and maintain automated testing frameworks for AI/ML systems.
• Use testing tools and frameworks (e.g., Selenium, PyTest, or custom tools) to streamline testing processes.

7. Collaboration:

• Collaborate with data scientists, AI engineers, and product teams to understand requirements and testing needs.
• Provide feedback and recommendations to improve AI model quality and reliability.

8. Documentation:

• Document test cases, results, and processes for future reference.
• Prepare detailed reports on testing outcomes and areas for improvement.

Qualifications:

Education:

• · Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Experience:
• · 3+ years of experience in software testing, with at least 1-2 years focused on AI/ML systems.
• · Hands-on experience with testing AI models, algorithms, and workflows.
• · Familiarity with machine learning concepts, frameworks (e.g., TensorFlow, PyTorch), and data pipelines.
• Skills:
• · Strong understanding of testing methodologies and tools.
• · Proficiency in programming languages like Python or Java for test automation.
• · Knowledge of data validation, model evaluation metrics, and performance testing.
• · Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• · Strong analytical and problem-solving skills.
• Certifications (Optional):
• · ISTQB or other software testing certifications.
• · AI/ML-related certifications are a plus.

Key Competencies:

• · Attention to detail and a commitment to quality.
• · Strong communication and collaboration skills.
• · Ability to work in a fast-paced, dynamic environment.
• · Passion for ensuring the reliability and fairness of AI systems.

Role: AI Engineer/Gen AI Engineer /Data Scientist

Location: Pune | Bangalore | Kolkata

Experience: 5-12 Years of experience

Job Description:

Qualifications and required skill sets.

• 5-12 years of experience
• Very strong proficiency in Python, including experience with AI and ML frameworks (e.g., TensorFlow, PyTorch).
• Have implementation experience with at least one substantial project involving Gen AI technologies, preferably with a tangible business impact.
• Contributions to open-source AI projects or have experience building side projects with AI.
• Excellent problem-solving and analytical skills.
• Strong communication skills, both written and verbal.
• Contributions to open-source AI projects.

What We Offer:

• Opportunities to work on unique datasets and pioneering AI applications.
• Professional growth through training programs, conferences, and R&D initiatives.
• A dynamic and inclusive work culture.

Application Process:

• Please submit your CV along with a portfolio or case studies of relevant projects.
• Expect a multi-stage interview process, including technical assessments.

Company Description

eWISE Global, LLC- Atlanta USA

Role Description

This is a full-time on-site role for an Artificial Intelligence Engineer located in Pune. The AI Engineer will be responsible for designing and implementing AI-based solutions, conducting data analysis, developing machine learning models, and collaborating with cross-functional teams to integrate AI technologies into existing systems. The role also includes tasks such as testing and evaluating algorithms, maintaining documentation, and staying updated with the latest advancements in the AI field.

Qualifications

• Strong understanding of AI and Machine Learning concepts
• Experience with programming languages such as Python, R, and Java
• Skills in data analysis, data preprocessing, and data visualization
• Knowledge of deep learning frameworks like TensorFlow, Keras, and PyTorch
• Experience with algorithm development and implementation
• Familiarity with cloud platforms such as AWS, Google Cloud, and Azure
• Strong problem-solving skills and ability to work collaboratively with cross-functional teams
• Excellent written and verbal communication skills
• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• Experience in the AI domain is a plus

Position : AI Technical Lead

Experience Required : 5+ Years

Company : Academian (EdTech Domain)

About Us

Academian is a leading EdTech company developing innovative software solutions. We focus on enhancing education through technology, delivering impactful learning experiences, and shaping the future of education with AI-driven solutions.

Role Overview

We are seeking an experienced AI Technical Lead to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain.

Key Responsibilities

• AI Model Development :
• Design, train, and deploy AI models for diverse use cases, including:
• Computer Vision : Image recognition, object detection, segmentation etc.
• Natural Language Processing (NLP) : Text classification, summarization, question-answering systems etc.
• Generative AI : Fine-tuning and deploying open-source large language models (LLMs) and Private Models.
• RAG (Retrieval-Augmented Generation) : Implement AI systems combining retrieval with generative models.
• Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.).
• Open-Source LLM Development :
• Develop and fine-tune open-source LLMs to cater to domain-specific needs.
• Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency.
• Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries.
• Integration & Architecture :
• Integrate AI solutions with Vector/Graph db for advanced data relationships and queries.
• Implement and manage MLOps /LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.
• Leadership :
• Mentor and guide junior engineers, fostering innovation and skill development.
• Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals.
• Infrastructure :
• Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions.
• Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development.
• Best Practices :
• Establish robust practices for coding, testing, and documenting AI solutions.
• Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development.

Requirements

Experience

• 5+ years of experience in AI/ML, with at least 2 years in a technical lead role.
• Proven expertise in designing and deploying AI solutions in production environments.

Technical Skills

• Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools.
• In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models .
• Familiarity with open-source LLM development and deployment
• Experience with RAG architectures , Graph Databases , and LLMOps practices.
• Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure).

Domain Knowledge

• Familiarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus.

Soft Skills

• Exceptional leadership and team mentoring abilities.
• Strong problem-solving skills and excellent communication for technical and non-technical stakeholders.

Education

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields.

Why Join Us:

• Opportunity to lead AI initiatives that shape the future of education technology.
• Work in a collaborative, mission-driven environment with a focus on innovation.
• Engage with impactful projects and cutting-edge AI technologies.
• Competitive salary, benefits, and opportunities for professional growth.