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Open nowPosted 169 days ago

Sr. AI/ML Developer

Ecosmob Technologies8 open roles

Where
Ahmedabad
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Your applicationOpen nowSr. AI/ML DeveloperEcosmob Technologies · Ahmedabad

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Ecosmob Technologies's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Ecosmob Technologies postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 169 days ago

Ecosmob Technologies median: 1 days open

The posting

Key Responsibilities

  • Team Leadership: Lead, guide, and mentor a team of AI/ML engineers and data scientists, fostering a collaborative, innovative, and productive work environment.
  • Clean Code & Development: Write clean, maintainable, and error-free Python code for developing robust machine learning systems.
  • Model Engineering: Efficiently design, build, and deploy machine learning models and end-to-end solutions.
  • Cross-Functional Collaboration: Work closely with diverse technical teams to ensure timely and efficient delivery of AI/ML projects.
  • Data Science Lifecycle: Implement end-to-end data science processes, including data preprocessing, exploratory analysis, modeling, evaluation, and deployment.
  • Database Management: Work proficiently with SQL and NoSQL databases to manage and retrieve data effectively.
  • API Development: Develop and integrate RESTful APIs using Python web frameworks (e.g., Flask, Django).
  • Debugging & Optimization: Diagnose issues and optimize existing code for performance improvements.
  • Agile Methodologies: Follow Agile/Scrum software development lifecycle practices consistently.
  • LLM & RAG Implementation: Design, develop, fine-tune, and deploy AI models focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Model Validation & Evaluation: Conduct training, validation, and evaluation experiments, refining models based on statistical analysis and performance metrics.
  • Security & Compliance: Ensure that AI/ML solutions adhere to security best practices and data privacy regulations (e.g., GDPR).

Technical Qualifications

  • Python Expertise: 3–5 years of hands-on experience with Python programming.
  • ML/DL Experience: 3–5 years of experience building, training, and deploying Machine Learning and Deep Learning models.
  • Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch, and Keras.
  • Web Frameworks: Solid experience with Python web frameworks (Flask, Django) for API development.
  • Core Libraries: Strong expertise in NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers.
  • Algorithms & Techniques: Deep understanding of ML/DL algorithms, with advanced techniques in NLP and/or Computer Vision.
  • Production-Grade AI: Proven experience designing and deploying AI solutions leveraging LLMs and RAG.
  • NLP & Conversational AI: Hands-on expertise in text representation, semantic extraction, sentiment analysis, and conversational AI.
  • Concurrency: Practical knowledge of multithreading, concurrency, and asynchronous programming in Python.
  • Database Proficiency: Advanced skills in SQL (PostgreSQL, MySQL, SQLite, MariaDB) and NoSQL (MongoDB) databases.
  • Deployment & MLOps: Experience with containerization (Docker/Kubernetes), cloud platforms (AWS, Azure, GCP), and familiarity with MLOps principles for CI/CD, monitoring, and logging.
  • Version Control: Proficient understanding of Git and Bitbucket for software version control.
  • C++: Experience with C++ development is a plus.

Soft Skills

  • Analytical Thinking: Strong analytical and structured problem-solving capabilities.
  • Proactive Problem-Solving: Logical reasoning and a hands-on approach to debugging and optimization.
  • Team Collaboration: Effective interpersonal skills to work seamlessly with cross-functional teams.
  • Clear Communication: Excellent ability to articulate technical concepts to diverse audiences.
  • Continuous Learning: Commitment to staying current on emerging trends in AI/ML, NLP, and Computer Vision.
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