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Salary
≈ $22k – $55k per year (Estimated)
Location
Hybrid (Pune, India)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Mar 27, 2026. Tudip Technologies scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Tudip Technologies is an Indian IT services and product engineering company based in Pune that delivers AI and machine learning, cloud, data engineering, Salesforce, quality assurance and learning services to clients worldwide. Appraised at CMMI Level 5, it serves fintech, gaming, healthcare, telecom, logistics and travel clients, runs a training and enablement business and builds its own products including AscentPath.AI, Testily.AI, VoXgent.AI and GreatHR, with offices listed in the US, Canada, Singapore and Dubai. It hires .NET, Java, Flutter and Salesforce developers, QA leads, digital marketing managers, partner and program managers, instructional designers and AI trainers.

About Company:

Tudip Technologies Pvt. Ltd is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically as well as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. We are a place which defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that transforms an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.

Job Role:

We are looking for an experienced Lead AI/ML Engineer to drive the design, development, and deployment of scalable AI/ML solutions. The ideal candidate will have strong expertise in machine learning, deep learning, and modern AI technologies including Generative AI and LLMs. This role involves leading a team, defining architecture, and delivering end-to-end AI solutions aligned with business goals.

Please read the job criteria below and drop us an email at [email protected] OR create an account at our Recruitment Portal to get started.

Key Responsibilities

  • Lead the design and development of AI/ML models and systems for real-world applications
  • Architect scalable and production-ready ML pipelines and data workflows
  • Work on advanced AI areas such as Generative AI, LLMs, NLP, and Computer Vision
  • Collaborate with cross-functional teams including product, engineering, and business stakeholders
  • Mentor and guide junior AI/ML engineers and data scientists
  • Ensure best practices in model development, evaluation, deployment, and monitoring
  • Drive model optimization, performance tuning, and scalability improvements
  • Stay updated with the latest advancements in AI/ML and implement innovative solutions
  • Handle end-to-end lifecycle: data preprocessing, model training, validation, deployment, and monitoring.

Required Skills & Qualifications

  • 8-10 years of experience in AI/ML or Data Science roles
  • Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Hands-on experience with Generative AI, LLMs (e.g., GPT, BERT)
  • Solid understanding of Machine Learning, Deep Learning, NLP, and Statistics
  • Experience with model deployment (Docker, Kubernetes, REST APIs)
  • Strong knowledge of data structures, algorithms, and system design
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.)
  • Strong problem-solving and leadership skills.

Preferred Qualifications

  • Experience in building AI-driven products at scale
  • Exposure to RAG (Retrieval-Augmented Generation) and vector databases
  • Knowledge of LangChain, LlamaIndex, or similar frameworks
  • Prior experience in leading teams or projects
  • Understanding of CI/CD pipelines for ML systems

Education

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
  • PhD is a plus

Soft Skills

  • Strong leadership and mentoring ability
  • Excellent communication and stakeholder management skills
  • Ability to work in a fast-paced, dynamic environment

Benefits (Optional Section)

  • Competitive salary and performance bonuses
  • Flexible work environment (Hybrid/Remote)
  • Opportunity to work on cutting-edge AI technologies
  • Learning & development opportunities
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